https://github.com/huggingface/transformers
audio deep-learning deepseek gemma glm hacktoberfest llm machine-learning model-hub natural-language-processing nlp pretrained-models python pytorch pytorch-transformers qwen speech-recognition transformer vlm
Score: 39.14015372212505
Last synced: about 18 hours ago
JSON representation
Repository metadata:
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
- Host: GitHub
- URL: https://github.com/huggingface/transformers
- Owner: huggingface
- License: apache-2.0
- Created: 2018-10-29T13:56:00.000Z (over 7 years ago)
- Default Branch: main
- Last Pushed: 2026-03-25T09:24:06.000Z (4 days ago)
- Last Synced: 2026-03-25T09:40:03.533Z (4 days ago)
- Topics: audio, deep-learning, deepseek, gemma, glm, hacktoberfest, llm, machine-learning, model-hub, natural-language-processing, nlp, pretrained-models, python, pytorch, pytorch-transformers, qwen, speech-recognition, transformer, vlm
- Language: Python
- Homepage: https://huggingface.co/transformers
- Size: 437 MB
- Stars: 158,371
- Watchers: 1,194
- Forks: 32,601
- Open Issues: 2,289
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION.cff
- Security: SECURITY.md
- Agents: AGENTS.md
Owner metadata:
- Name: Hugging Face
- Login: huggingface
- Email:
- Kind: organization
- Description: The AI community building the future.
- Website: https://huggingface.co/
- Location: NYC + Paris
- Twitter: huggingface
- Company:
- Icon url: https://avatars.githubusercontent.com/u/25720743?v=4
- Repositories: 370
- Last Synced at: 2025-11-13T02:39:46.174Z
- Profile URL: https://github.com/huggingface
Committers metadata
Last synced: 3 days ago
Total Commits: 21,925
Total Committers: 3,649
Avg Commits per committer: 6.008
Development Distribution Score (DDS): 0.937
Commits in past year: 4,059
Committers in past year: 852
Avg Commits per committer in past year: 4.764
Development Distribution Score (DDS) in past year: 0.918
| Name | Commits | |
|---|---|---|
| Yih-Dar | 2****h | 1379 |
| Sylvain Gugger | 3****r | 1240 |
| Lysandre | l****t@r****r | 1088 |
| thomwolf | t****f@g****m | 946 |
| Patrick von Platen | p****n@g****m | 790 |
| Joao Gante | j****e@g****m | 594 |
| Stas Bekman | s****0 | 518 |
| Arthur | 4****r | 447 |
| Matt | R****1 | 435 |
| Raushan Turganbay | r****n@h****o | 410 |
| Julien Chaumond | c****d@g****m | 395 |
| Cyril Vallez | c****z@h****o | 334 |
| Younes Belkada | 4****a | 316 |
| NielsRogge | 4****e | 286 |
| Sam Shleifer | s****r@g****m | 280 |
| amyeroberts | 2****s | 235 |
| Nicolas Patry | p****s@p****m | 233 |
| Marc Sun | 5****c | 223 |
| Suraj Patil | s****5@g****m | 201 |
| VictorSanh | v****h@g****m | 194 |
| Yuanyuan Chen | c****r@o****m | 174 |
| Steven Liu | 5****u | 172 |
| Yoni Gozlan | 7****n | 151 |
| dependabot[bot] | 4****] | 150 |
| Manuel Romero | m****8@g****m | 149 |
| Sanchit Gandhi | 9****i | 149 |
| Zach Mueller | m****r@g****m | 145 |
| Mohamed Mekkouri | 9****r | 139 |
| Morgan Funtowicz | m****n@h****o | 134 |
| Anton Vlasjuk | 7****u | 124 |
| and 3619 more... | ||
Issue and Pull Request metadata
Last synced: 1 day ago
Total issues: 6,249
Total pull requests: 13,894
Average time to close issues: about 1 month
Average time to close pull requests: 17 days
Total issue authors: 4,408
Total pull request authors: 2,534
Average comments per issue: 4.31
Average comments per pull request: 2.95
Merged pull request: 6,859
Bot issues: 0
Bot pull requests: 136
Past year issues: 961
Past year pull requests: 3,342
Past year average time to close issues: 17 days
Past year average time to close pull requests: 6 days
Past year issue authors: 801
Past year pull request authors: 828
Past year average comments per issue: 1.95
Past year average comments per pull request: 2.05
Past year merged pull request: 1,427
Past year bot issues: 0
Past year bot pull requests: 4
Top Issue Authors
- guangy10 (27)
- xenova (24)
- NielsRogge (24)
- andysingal (22)
- ydshieh (20)
- rajveer43 (20)
- lucasjinreal (20)
- jiqing-feng (19)
- dvrogozh (18)
- amyeroberts (18)
- ArthurZucker (18)
- gante (17)
- zucchini-nlp (16)
- RonanKMcGovern (15)
- BramVanroy (14)
Top Pull Request Authors
- ydshieh (757)
- gante (597)
- zucchini-nlp (499)
- ArthurZucker (444)
- AhmedAlmaghz (381)
- Rocketknight1 (307)
- Cyrilvallez (237)
- younesbelkada (224)
- amyeroberts (218)
- SunMarc (207)
- yonigozlan (167)
- NielsRogge (159)
- faaany (156)
- cyyever (151)
- qubvel (147)
Top Issue Labels
- bug (1,790)
- Feature request (605)
- New model (233)
- WIP (115)
- Vision (112)
- trainer (86)
- Audio (82)
- Generation (80)
- Good First Issue (77)
- Good Second Issue (59)
- Core: Tokenization (47)
- wontfix (40)
- Usage (33)
- Cache (31)
- Multimodal (29)
- Good Difficult Issue (28)
- DeepSpeed (27)
- solved (26)
- Core: Pipeline (25)
- Quantization (24)
- PyTorch FSDP (23)
- Core: Modeling (22)
- Documentation (20)
- Should Fix (19)
- Examples (17)
- Accelerate (17)
- PEFT (16)
- Compilation (12)
- TensorFlow (11)
- Good First Documentation Issue (10)
Top Pull Request Labels
- run-slow (312)
- New model (163)
- Vision (139)
- dependencies (133)
- python (104)
- WIP (62)
- for patch (54)
- Audio (53)
- Agents (52)
- Processing (36)
- Multimodal (31)
- bug (28)
- Quantization (20)
- ExecuTorch (16)
- Feature request (15)
- trainer (14)
- DeepSpeed (13)
- SDPA (13)
- Generation (11)
- Flax (11)
- run-benchmark (11)
- single-model-run-slow (10)
- optimization (10)
- Core: Modeling (10)
- Documentation (10)
- Tests (10)
- Cache (7)
- Compilation (7)
- TensorFlow (7)
- Good Second Issue (7)
Package metadata
- Total packages: 32
-
Total downloads:
- conda: 33,033
- pypi: 125,301,080 last-month
- Total docker downloads: 44,558,964
- Total dependent packages: 2,619 (may contain duplicates)
- Total dependent repositories: 32,003 (may contain duplicates)
- Total versions: 343
- Total maintainers: 20
- Total advisories: 19
pypi.org: transformers
Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
- Homepage: https://github.com/huggingface/transformers
- Documentation: https://transformers.readthedocs.io/
- Licenses: Apache 2.0 License
- Latest release: 5.4.0 (published 3 days ago)
- Last Synced: 2026-03-28T09:32:45.641Z (1 day ago)
- Versions: 214
- Dependent Packages: 2,589
- Dependent Repositories: 31,800
- Downloads: 125,297,403 Last month
- Docker Downloads: 44,558,964
-
Rankings:
- Stargazers count: 0.011%
- Dependent packages count: 0.014%
- Forks count: 0.02%
- Dependent repos count: 0.039%
- Downloads: 0.051%
- Average: 0.12%
- Docker downloads count: 0.583%
- Maintainers (4)
-
Advisories:
- Hugging Face Transformers vulnerable to Regular Expression Denial of Service (ReDoS) in the AdamWeightDecay optimizer
- Hugging Face Transformers library has Regular Expression Denial of Service
- Hugging Face Transformers is vulnerable to ReDoS through its MarianTokenizer
- Hugging Face Transformers Regular Expression Denial of Service (ReDoS) vulnerability
- Transformers is vulnerable to ReDoS attack through its DonutProcessor class
- Transformers vulnerable to ReDoS attack through its SETTING_RE variable
- Transformers's Improper Input Validation vulnerability can be exploited through username injection
- Transformers vulnerable to ReDoS attack through its get_imports() function
- Transformers's ReDoS vulnerability in get_configuration_file can lead to catastrophic backtracking
- Hugging Face Transformers Regular Expression Denial of Service
- Transformers Regular Expression Denial of Service (ReDoS) vulnerability
- Transformers Regular Expression Denial of Service (ReDoS) vulnerability
- Deserialization of Untrusted Data in Hugging Face Transformers
- Deserialization of Untrusted Data in Hugging Face Transformers
- Deserialization of Untrusted Data in Hugging Face Transformers
- Transformers Deserialization of Untrusted Data vulnerability
- transformers has a Deserialization of Untrusted Data vulnerability
- transformers has a Deserialization of Untrusted Data vulnerability
- transformers has Insecure Temporary File
conda-forge.org: transformers
- Homepage: https://github.com/huggingface/transformers
- Licenses: Apache-2.0
- Latest release: 4.24.0 (published over 3 years ago)
- Last Synced: 2026-03-01T15:23:35.529Z (28 days ago)
- Versions: 68
- Dependent Packages: 24
- Dependent Repositories: 101
-
Rankings:
- Stargazers count: 0.08%
- Forks count: 0.125%
- Average: 1.592%
- Dependent packages count: 2.79%
- Dependent repos count: 3.374%
pypi.org: in-transformers
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
- Homepage: https://github.com/huggingface/transformers
- Documentation: https://in-transformers.readthedocs.io/
- Licenses: Apache
- Latest release: 1.0.0 (published about 3 years ago)
- Last Synced: 2026-03-26T18:06:18.939Z (3 days ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 18 Last month
-
Rankings:
- Stargazers count: 0.003%
- Forks count: 0.01%
- Dependent packages count: 6.633%
- Average: 10.751%
- Downloads: 16.5%
- Dependent repos count: 30.611%
- Maintainers (1)
pypi.org: transformers-usf-om-vl-exp-v0
Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
- Homepage: https://github.com/huggingface/transformers
- Documentation: https://transformers-usf-om-vl-exp-v0.readthedocs.io/
- Licenses: Apache 2.0 License
- Latest release: 0.0.1.post1 (published 5 months ago)
- Last Synced: 2026-03-26T18:06:53.207Z (3 days ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 21 Last month
-
Rankings:
- Stargazers count: 0.02%
- Forks count: 0.028%
- Dependent packages count: 8.389%
- Average: 13.966%
- Dependent repos count: 47.425%
- Maintainers (1)
spack.io: py-transformers
State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch
- Homepage: https://github.com/huggingface/transformers
- Licenses: []
- Latest release: 4.42.3 (published over 1 year ago)
- Last Synced: 2026-02-22T16:01:38.794Z (about 1 month ago)
- Versions: 7
- Dependent Packages: 1
- Dependent Repositories: 0
-
Rankings:
- Dependent repos count: 0.0%
- Forks count: 0.0%
- Stargazers count: 0.014%
- Average: 14.322%
- Dependent packages count: 57.274%
- Maintainers (1)
anaconda.org: transformers
Transformers provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio. These models can be applied on: - 📝 Text, for tasks like text classification, information extraction, question answering, summarization, translation, text generation, in over 100 languages. - 🖼️ Images, for tasks like image classification, object detection, and segmentation. - 🗣️ Audio, for tasks like speech recognition and audio classification. Transformer models can also perform tasks on several modalities combined, such as table question answering, optical character recognition, information extraction from scanned documents, video classification, and visual question answering.
- Homepage: https://github.com/huggingface/transformers
- Licenses: Apache-2.0
- Latest release: 4.57.1 (published 4 months ago)
- Last Synced: 2026-03-21T18:20:16.729Z (8 days ago)
- Versions: 16
- Dependent Packages: 4
- Dependent Repositories: 101
- Downloads: 33,033 Total
-
Rankings:
- Stargazers count: 0.154%
- Forks count: 0.461%
- Average: 15.066%
- Dependent repos count: 18.623%
- Dependent packages count: 41.026%
pypi.org: t-draft-123
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
- Homepage: https://github.com/huggingface/transformers
- Documentation: https://t-draft-123.readthedocs.io/
- Licenses: Apache 2.0 License
- Latest release: 4.48.0.dev4 (published about 1 year ago)
- Last Synced: 2026-03-09T13:22:41.127Z (20 days ago)
- Versions: 5
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 72 Last month
-
Rankings:
- Stargazers count: 0.01%
- Forks count: 0.021%
- Dependent packages count: 9.792%
- Average: 16.236%
- Dependent repos count: 55.121%
- Maintainers (1)
pypi.org: transformers-phobert
State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch. Note that the tokenizer was changed by PhoBert in this version.
- Homepage: https://github.com/huggingface/transformers
- Documentation: https://transformers-phobert.readthedocs.io/
- Licenses: Apache
- Latest release: 3.1.2 (published over 5 years ago)
- Last Synced: 2026-03-09T13:22:42.202Z (20 days ago)
- Versions: 2
- Dependent Packages: 0
- Dependent Repositories: 1
- Downloads: 292 Last month
-
Rankings:
- Stargazers count: 0.002%
- Forks count: 0.007%
- Dependent packages count: 7.373%
- Average: 16.257%
- Dependent repos count: 22.233%
- Downloads: 51.668%
- Maintainers (1)
pypi.org: transformers-machinify
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
- Homepage: https://github.com/huggingface/transformers
- Documentation: https://transformers-machinify.readthedocs.io/
- Licenses: Apache 2.0 License
- Latest release: 4.27.0.dev0 (published about 3 years ago)
- Last Synced: 2026-03-09T13:22:40.897Z (20 days ago)
- Versions: 1
- Dependent Packages: 1
- Dependent Repositories: 0
- Downloads: 41 Last month
-
Rankings:
- Dependent packages count: 3.087%
- Average: 16.814%
- Dependent repos count: 30.542%
- Maintainers (1)
pypi.org: transformers-v5-pre-rc0
Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
- Homepage: https://github.com/huggingface/transformers
- Documentation: https://transformers-v5-pre-rc0.readthedocs.io/
- Licenses: Apache 2.0 License
- Latest release: 5.0.0.dev1 (published 4 months ago)
- Last Synced: 2026-03-26T18:06:52.692Z (3 days ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 22 Last month
-
Rankings:
- Dependent packages count: 8.234%
- Average: 27.387%
- Dependent repos count: 46.541%
- Maintainers (1)
pypi.org: transformers-openpi
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
- Homepage: https://github.com/huggingface/transformers
- Documentation: https://transformers-openpi.readthedocs.io/
- Licenses: Apache 2.0 License
- Latest release: 4.53.3 (published 5 months ago)
- Last Synced: 2026-03-09T13:22:41.654Z (20 days ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 46 Last month
-
Rankings:
- Dependent packages count: 8.36%
- Average: 27.808%
- Dependent repos count: 47.256%
- Maintainers (2)
pypi.org: transformers-v4.55.0-glm-4.5v-preview
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
- Homepage: https://github.com/huggingface/transformers
- Documentation: https://transformers-v4.55.0-glm-4.5v-preview.readthedocs.io/
- Licenses: Apache 2.0 License
- Latest release: 4.56.0.dev0 (published 8 months ago)
- Last Synced: 2026-03-09T13:22:41.489Z (20 days ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 3,020 Last month
-
Rankings:
- Dependent packages count: 8.701%
- Average: 28.868%
- Dependent repos count: 49.035%
- Maintainers (1)
pypi.org: transformers-qwenomni
Transformers: With code for Qwen 2.5 Omni
- Homepage: https://github.com/huggingface/transformers
- Documentation: https://transformers-qwenomni.readthedocs.io/
- Licenses: Apache 2.0 License
- Latest release: 4.52.0.3 (published 10 months ago)
- Last Synced: 2026-03-26T18:06:52.071Z (3 days ago)
- Versions: 2
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 29 Last month
-
Rankings:
- Dependent packages count: 9.113%
- Average: 30.23%
- Dependent repos count: 51.347%
- Maintainers (1)
pypi.org: mcwtimesformer
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
- Homepage: https://github.com/huggingface/transformers
- Documentation: https://mcwtimesformer.readthedocs.io/
- Licenses: Apache 2.0 License
- Latest release: 4.52.0 (published 11 months ago)
- Last Synced: 2026-03-26T18:05:43.679Z (3 days ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent packages count: 9.182%
- Average: 30.455%
- Dependent repos count: 51.727%
- Maintainers (1)
pypi.org: mcwtransformers
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
- Homepage: https://github.com/huggingface/transformers
- Documentation: https://mcwtransformers.readthedocs.io/
- Licenses: Apache 2.0 License
- Latest release: 4.52.1 (published 11 months ago)
- Last Synced: 2026-03-09T13:22:41.673Z (20 days ago)
- Versions: 2
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 21 Last month
-
Rankings:
- Dependent packages count: 9.182%
- Average: 30.455%
- Dependent repos count: 51.727%
- Maintainers (1)
pypi.org: transformers-mcw
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
- Homepage: https://github.com/huggingface/transformers
- Documentation: https://transformers-mcw.readthedocs.io/
- Licenses: Apache 2.0 License
- Latest release: 4.52.0.dev0 (published 11 months ago)
- Last Synced: 2026-03-09T13:22:41.433Z (20 days ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 30 Last month
-
Rankings:
- Dependent packages count: 9.182%
- Average: 30.455%
- Dependent repos count: 51.727%
- Maintainers (1)
pypi.org: xmersawitransformers
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
- Homepage: https://github.com/huggingface/transformers
- Documentation: https://xmersawitransformers.readthedocs.io/
- Licenses: Apache 2.0 License
- Latest release: 4.52.0.dev0 (published 11 months ago)
- Last Synced: 2026-03-09T13:22:41.996Z (20 days ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 29 Last month
-
Rankings:
- Dependent packages count: 9.182%
- Average: 30.455%
- Dependent repos count: 51.727%
- Maintainers (1)
pypi.org: my-transformers
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
- Homepage: https://github.com/huggingface/transformers
- Documentation: https://my-transformers.readthedocs.io/
- Licenses: Apache 2.0 License
- Latest release: 4.5.1 (published about 1 year ago)
- Last Synced: 2026-03-26T18:06:52.408Z (3 days ago)
- Versions: 2
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 19 Last month
-
Rankings:
- Dependent packages count: 9.574%
- Average: 31.743%
- Dependent repos count: 53.913%
- Maintainers (1)
pypi.org: divyanx-transformers
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
- Homepage: https://github.com/huggingface/transformers
- Documentation: https://divyanx-transformers.readthedocs.io/
- Licenses: Apache 2.0 License
- Latest release: 4.45.0.dev0 (published over 1 year ago)
- Last Synced: 2026-03-26T18:06:52.076Z (3 days ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 17 Last month
-
Rankings:
- Dependent packages count: 10.454%
- Average: 34.65%
- Dependent repos count: 58.847%
- Maintainers (1)
nixpkgs-23.05: python311Packages.transformers
Natural Language Processing for TensorFlow 2.0 and PyTorch
- Homepage: https://github.com/huggingface/transformers
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-23.05/pkgs/development/python-modules/transformers/default.nix#L101
- Licenses: Apache-2.0
- Latest release: 4.28.1 (published 2 months ago)
- Last Synced: 2026-03-03T09:22:25.048Z (26 days ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent repos count: 0.0%
- Dependent packages count: 0.0%
- Average: 100%
- Maintainers (1)
nixpkgs-23.11: python311Packages.transformers
Natural Language Processing for TensorFlow 2.0 and PyTorch
- Homepage: https://github.com/huggingface/transformers
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-23.11/pkgs/development/python-modules/transformers/default.nix#L176
- Licenses: Apache-2.0
- Latest release: 4.35.2 (published about 2 months ago)
- Last Synced: 2026-03-07T11:39:55.026Z (22 days ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent repos count: 0.0%
- Dependent packages count: 0.0%
- Average: 100%
- Maintainers (2)
nixpkgs-unstable: python314Packages.transformers_4
Natural Language Processing for TensorFlow 2.0 and PyTorch
- Homepage: https://github.com/huggingface/transformers
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-unstable/pkgs/development/python-modules/transformers/4.nix#L198
- Licenses: Apache-2.0
- Latest release: 4.57.6 (published 26 days ago)
- Last Synced: 2026-03-03T01:14:26.518Z (26 days ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent repos count: 0.0%
- Dependent packages count: 0.0%
- Average: 100%
- Maintainers (2)
nixpkgs-unstable: python313Packages.transformers_4
Natural Language Processing for TensorFlow 2.0 and PyTorch
- Homepage: https://github.com/huggingface/transformers
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-unstable/pkgs/development/python-modules/transformers/4.nix#L198
- Licenses: Apache-2.0
- Latest release: 4.57.6 (published 26 days ago)
- Last Synced: 2026-03-03T01:14:02.176Z (26 days ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent repos count: 0.0%
- Dependent packages count: 0.0%
- Average: 100%
- Maintainers (2)
nixpkgs-unstable: python313Packages.transformers
Natural Language Processing for TensorFlow 2.0 and PyTorch
- Homepage: https://github.com/huggingface/transformers
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-unstable/pkgs/development/python-modules/transformers/default.nix#L217
- Licenses: Apache-2.0
- Latest release: 5.2.0 (published 26 days ago)
- Last Synced: 2026-03-03T22:14:25.776Z (26 days ago)
- Versions: 2
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Maintainers (3)
nixpkgs-23.11: python310Packages.transformers
Natural Language Processing for TensorFlow 2.0 and PyTorch
- Homepage: https://github.com/huggingface/transformers
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-23.11/pkgs/development/python-modules/transformers/default.nix#L176
- Licenses: Apache-2.0
- Latest release: 4.35.2 (published about 2 months ago)
- Last Synced: 2026-03-07T08:38:56.944Z (22 days ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Maintainers (2)
nixpkgs-24.11: python312Packages.transformers
Natural Language Processing for TensorFlow 2.0 and PyTorch
- Homepage: https://github.com/huggingface/transformers
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-24.11/pkgs/development/python-modules/transformers/default.nix#L191
- Licenses: Apache-2.0
- Latest release: 4.46.2 (published about 2 months ago)
- Last Synced: 2026-03-06T08:38:20.165Z (23 days ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Maintainers (2)
nixpkgs-24.05: python312Packages.transformers
Natural Language Processing for TensorFlow 2.0 and PyTorch
- Homepage: https://github.com/huggingface/transformers
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-24.05/pkgs/development/python-modules/transformers/default.nix#L191
- Licenses: Apache-2.0
- Latest release: 4.41.0 (published about 2 months ago)
- Last Synced: 2026-03-07T14:10:18.838Z (22 days ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent repos count: 0.0%
- Dependent packages count: 0.0%
- Average: 100%
- Maintainers (2)
guix: python-transformers
Machine Learning for PyTorch and TensorFlow
- Homepage: https://github.com/huggingface/transformers
- Documentation: https://git.savannah.gnu.org/cgit/guix.git/tree/gnu/packages/machine-learning.scm#n6059
- Licenses: asl2.0
- Latest release: 4.44.2 (published 27 days ago)
- Last Synced: 2026-03-02T20:41:30.971Z (27 days ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent repos count: 0.0%
- Dependent packages count: 0.0%
- Average: 100%
nixpkgs-24.11: python311Packages.transformers
Natural Language Processing for TensorFlow 2.0 and PyTorch
- Homepage: https://github.com/huggingface/transformers
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-24.11/pkgs/development/python-modules/transformers/default.nix#L191
- Licenses: Apache-2.0
- Latest release: 4.46.2 (published about 2 months ago)
- Last Synced: 2026-03-07T10:14:58.984Z (22 days ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Maintainers (2)
nixpkgs-unstable: python314Packages.transformers
Natural Language Processing for TensorFlow 2.0 and PyTorch
- Homepage: https://github.com/huggingface/transformers
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-unstable/pkgs/development/python-modules/transformers/default.nix#L217
- Licenses: Apache-2.0
- Latest release: 5.2.0 (published 22 days ago)
- Last Synced: 2026-03-07T09:33:37.366Z (22 days ago)
- Versions: 2
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Maintainers (3)
nixpkgs-23.05: python310Packages.transformers
Natural Language Processing for TensorFlow 2.0 and PyTorch
- Homepage: https://github.com/huggingface/transformers
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-23.05/pkgs/development/python-modules/transformers/default.nix#L101
- Licenses: Apache-2.0
- Latest release: 4.28.1 (published 2 months ago)
- Last Synced: 2026-03-04T18:35:04.063Z (25 days ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Maintainers (1)
nixpkgs-24.05: python311Packages.transformers
Natural Language Processing for TensorFlow 2.0 and PyTorch
- Homepage: https://github.com/huggingface/transformers
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-24.05/pkgs/development/python-modules/transformers/default.nix#L191
- Licenses: Apache-2.0
- Latest release: 4.41.0 (published about 2 months ago)
- Last Synced: 2026-03-07T09:09:56.497Z (22 days ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Maintainers (2)
Dependencies
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- timeout-decorator ==0.5.0
- timm ==0.5.4
- tokenizers ==0.11.6
- tomli ==2.0.1
- toolz ==0.11.2
- torch ==1.11.0
- torchaudio ==0.11.0
- torchvision ==0.12.0
- tqdm ==4.63.0
- traitlets ==5.1.1
- typing-extensions ==4.1.1
- tzdata ==2022.1
- tzlocal ==4.1
- unidic ==1.1.0
- unidic-lite ==1.0.8
- uritemplate ==4.1.1
- urllib3 ==1.26.9
- wasabi ==0.9.0
- wcwidth ==0.2.5
- websocket-client ==1.3.1
- wrapt ==1.14.0
- xxhash ==3.0.0
- yarl ==1.7.2
- zipp ==3.7.0
examples/research_projects/deebert/requirements.txt
pypi
- transformers ==3.5.1
examples/research_projects/distillation/requirements.txt
pypi
- gitpython ==3.1.32
- psutil ==5.6.6
- scipy >=1.4.1
- tensorboard >=1.14.0
- tensorboardX ==1.8
- transformers *
examples/research_projects/fsner/pyproject.toml
pypi
examples/research_projects/fsner/requirements.txt
pypi
- transformers >=4.9.2
examples/research_projects/fsner/setup.py
pypi
- torch >=1.9.0
examples/research_projects/information-gain-filtration/requirements.txt
pypi
- joblib >=0.13.2
- matplotlib *
- numpy >=1.17.2
- scipy *
- torch >=1.10.1
- transformers >=3.5
examples/research_projects/jax-projects/big_bird/requirements.txt
pypi
- datasets *
- flax *
- jsonlines *
- sentencepiece *
- wandb *
examples/research_projects/jax-projects/hybrid_clip/requirements.txt
pypi
- flax >=0.3.5
- jax >=0.2.8
- jaxlib >=0.1.59
- optax >=0.0.8
- torch ==1.9.0
- torchvision ==0.10.0
examples/research_projects/layoutlmv3/requirements.txt
pypi
- datasets *
- pillow *
- seqeval *
examples/research_projects/longform-qa/requirements.txt
pypi
- datasets >=1.1.3
- elasticsearch *
- faiss-cpu *
- streamlit *
examples/research_projects/lxmert/requirements.txt
pypi
- CacheControl ==0.12.6
- Jinja2 >=2.11.3
- MarkupSafe ==1.1.1
- Pillow >=8.1.1
- PyYAML >=5.4
- Pygments >=2.7.4
- QtPy ==1.9.0
- Send2Trash ==1.5.0
- appdirs ==1.4.3
- argon2-cffi ==20.1.0
- async-generator ==1.10
- attrs ==20.2.0
- backcall ==0.2.0
- certifi ==2023.7.22
- cffi ==1.14.2
- chardet ==3.0.4
- click ==7.1.2
- colorama ==0.4.3
- contextlib2 ==0.6.0
- cycler ==0.10.0
- datasets ==1.0.0
- decorator ==4.4.2
- defusedxml ==0.6.0
- dill ==0.3.2
- distlib ==0.3.0
- distro ==1.4.0
- entrypoints ==0.3
- filelock ==3.0.12
- future ==0.18.3
- html5lib ==1.0.1
- idna ==2.8
- ipaddr ==2.2.0
- ipykernel ==5.3.4
- ipython *
- ipython-genutils ==0.2.0
- ipywidgets ==7.5.1
- jedi ==0.17.2
- joblib ==1.2.0
- jsonschema ==3.2.0
- jupyter ==1.0.0
- jupyter-client ==6.1.7
- jupyter-console ==6.2.0
- jupyter-core ==4.6.3
- jupyterlab-pygments ==0.1.1
- kiwisolver ==1.2.0
- lockfile ==0.12.2
- matplotlib ==3.3.1
- mistune ==2.0.3
- msgpack ==0.6.2
- nbclient ==0.5.0
- nbconvert ==6.5.1
- nbformat ==5.0.7
- nest-asyncio ==1.4.0
- notebook ==6.4.12
- numpy ==1.22.0
- opencv-python ==4.4.0.42
- packaging ==20.3
- pandas ==1.1.2
- pandocfilters ==1.4.2
- parso ==0.7.1
- pep517 ==0.8.2
- pexpect ==4.8.0
- pickleshare ==0.7.5
- progress ==1.5
- prometheus-client ==0.8.0
- prompt-toolkit ==3.0.7
- ptyprocess ==0.6.0
- pyaml ==20.4.0
- pyarrow ==1.0.1
- pycparser ==2.20
- pyparsing ==2.4.6
- pyrsistent ==0.16.0
- python-dateutil ==2.8.1
- pytoml ==0.1.21
- pytz ==2020.1
- pyzmq ==19.0.2
- qtconsole ==4.7.7
- regex ==2020.7.14
- requests ==2.31.0
- retrying ==1.3.3
- sacremoses ==0.0.43
- sentencepiece ==0.1.91
- six ==1.14.0
- terminado ==0.8.3
- testpath ==0.4.4
- tokenizers ==0.8.1rc2
- torch ==1.6.0
- torchvision ==0.7.0
- tornado ==6.3.3
- tqdm ==4.48.2
- traitlets *
- urllib3 ==1.26.5
- wcwidth ==0.2.5
- webencodings ==0.5.1
- wget ==3.2
- widgetsnbextension ==3.5.1
- xxhash ==2.0.0
examples/research_projects/mlm_wwm/requirements.txt
pypi
- datasets >=1.1.3
- ltp *
- protobuf *
- sentencepiece *
examples/research_projects/movement-pruning/requirements.txt
pypi
- h5py >=2.10.0
- knockknock >=0.1.8.1
- numpy >=1.18.2
- scipy >=1.4.1
- torch >=1.4.0
examples/research_projects/onnx/summarization/requirements.txt
pypi
- torch >=1.10
examples/research_projects/pplm/requirements.txt
pypi
- conllu *
- datasets >=1.1.3
- elasticsearch *
- faiss-cpu *
- fire *
- git-python ==1.0.3
- matplotlib *
- nltk *
- pandas *
- protobuf *
- psutil *
- pytest *
- pytorch-lightning *
- rouge-score *
- sacrebleu *
- scikit-learn *
- sentencepiece *
- seqeval *
- streamlit *
- tensorboard *
- tensorflow_datasets *
- transformers ==3.5.1
examples/research_projects/rag/requirements.txt
pypi
- GitPython *
- datasets >=1.0.1
- faiss-cpu >=1.6.3
- psutil >=5.7.0
- pytorch-lightning >=1.5.10,<=1.6.0
- ray >=1.10.0
- torch >=1.4.0
- transformers *
examples/research_projects/rag-end2end-retriever/requirements.txt
pypi
- datasets *
- faiss-cpu >=1.7.2
- nvidia-ml-py3 ==7.352.0
- psutil >=5.9.1
- pytorch-lightning ==1.6.4
- ray >=1.13.0
- torch >=1.11.0
examples/research_projects/self-training-text-classification/requirements.txt
pypi
- accelerate *
- datasets >=1.8.0
- protobuf *
- scikit-learn *
- scipy *
- sentencepiece *
- torch >=1.3
examples/research_projects/seq2seq-distillation/requirements.txt
pypi
- conllu *
- datasets >=1.1.3
- elasticsearch *
- faiss-cpu *
- fire *
- git-python ==1.0.3
- matplotlib *
- nltk *
- pandas *
- protobuf *
- psutil *
- pytest *
- pytorch-lightning *
- rouge-score *
- sacrebleu *
- scikit-learn *
- sentencepiece *
- streamlit *
- tensorboard *
- tensorflow_datasets *
examples/research_projects/tapex/requirements.txt
pypi
- datasets *
- nltk *
- numpy *
- pandas *
examples/research_projects/visual_bert/requirements.txt
pypi
- CacheControl ==0.12.6
- Jinja2 >=2.11.3
- MarkupSafe ==1.1.1
- Pillow >=8.1.1
- PyYAML >=5.4
- Pygments >=2.7.4
- QtPy ==1.9.0
- Send2Trash ==1.5.0
- appdirs ==1.4.3
- argon2-cffi ==20.1.0
- async-generator ==1.10
- attrs ==20.2.0
- backcall ==0.2.0
- certifi ==2023.7.22
- cffi ==1.14.2
- chardet ==3.0.4
- click ==7.1.2
- colorama ==0.4.3
- contextlib2 ==0.6.0
- cycler ==0.10.0
- datasets ==1.0.0
- decorator ==4.4.2
- defusedxml ==0.6.0
- dill ==0.3.2
- distlib ==0.3.0
- distro ==1.4.0
- entrypoints ==0.3
- filelock ==3.0.12
- future ==0.18.3
- html5lib ==1.0.1
- idna ==2.8
- ipaddr ==2.2.0
- ipykernel ==5.3.4
- ipython *
- ipython-genutils ==0.2.0
- ipywidgets ==7.5.1
- jedi ==0.17.2
- joblib ==1.2.0
- jsonschema ==3.2.0
- jupyter ==1.0.0
- jupyter-client ==6.1.7
- jupyter-console ==6.2.0
- jupyter-core ==4.6.3
- jupyterlab-pygments ==0.1.1
- kiwisolver ==1.2.0
- lockfile ==0.12.2
- matplotlib ==3.3.1
- mistune ==2.0.3
- msgpack ==0.6.2
- nbclient ==0.5.0
- nbconvert ==6.5.1
- nbformat ==5.0.7
- nest-asyncio ==1.4.0
- notebook ==6.4.12
- numpy ==1.22.0
- opencv-python ==4.4.0.42
- packaging ==20.3
- pandas ==1.1.2
- pandocfilters ==1.4.2
- parso ==0.7.1
- pep517 ==0.8.2
- pexpect ==4.8.0
- pickleshare ==0.7.5
- progress ==1.5
- prometheus-client ==0.8.0
- prompt-toolkit ==3.0.7
- ptyprocess ==0.6.0
- pyaml ==20.4.0
- pyarrow ==1.0.1
- pycparser ==2.20
- pyparsing ==2.4.6
- pyrsistent ==0.16.0
- python-dateutil ==2.8.1
- pytoml ==0.1.21
- pytz ==2020.1
- pyzmq ==19.0.2
- qtconsole ==4.7.7
- regex ==2020.7.14
- requests ==2.31.0
- retrying ==1.3.3
- sacremoses ==0.0.43
- sentencepiece ==0.1.91
- six ==1.14.0
- terminado ==0.8.3
- testpath ==0.4.4
- tokenizers ==0.8.1rc2
- torch ==1.6.0
- torchvision ==0.7.0
- tornado ==6.3.3
- tqdm ==4.48.2
- traitlets *
- urllib3 ==1.26.5
- wcwidth ==0.2.5
- webencodings ==0.5.1
- wget ==3.2
- widgetsnbextension ==3.5.1
- xxhash ==2.0.0
examples/research_projects/vqgan-clip/requirements.txt
pypi
- Pillow *
- PyYAML *
- einops *
- gradio *
- icecream *
- imageio *
- lpips *
- matplotlib *
- more_itertools *
- numpy *
- omegaconf *
- opencv_python_headless *
- pudb *
- pytorch_lightning *
- requests *
- scikit_image *
- scipy *
- setuptools *
- streamlit *
- taming-transformers *
- tokenizers ==0.13.2
- torch *
- torchvision *
- tqdm *
- transformers ==4.26.0
- typing_extensions *
- wandb *
examples/research_projects/wav2vec2/requirements.txt
pypi
- datasets *
- jiwer ==2.2.0
- lang-trans ==0.6.0
- librosa ==0.8.0
- torch >=1.5.0
- torchaudio *
- transformers *
examples/research_projects/xtreme-s/requirements.txt
pypi
- datasets >=1.18.0
- jiwer *
- librosa *
- torch >=1.5
- torchaudio *
examples/tensorflow/_tests_requirements.txt
pypi
- conllu * test
- datasets >=1.13.3 test
- elasticsearch * test
- evaluate >=0.2.0 test
- faiss-cpu * test
- fire * test
- git-python ==1.0.3 test
- jiwer * test
- librosa * test
- matplotlib * test
- nltk * test
- pandas * test
- protobuf * test
- psutil * test
- pytest * test
- rouge-score * test
- sacrebleu >=1.4.12 test
- scikit-learn * test
- sentencepiece * test
- seqeval * test
- streamlit * test
- tensorboard * test
- tensorflow <2.15 test
- tensorflow_datasets * test
examples/tensorflow/benchmarking/requirements.txt
pypi
- tensorflow >=2.3
examples/tensorflow/contrastive-image-text/requirements.txt
pypi
- datasets >=1.8.0
- tensorflow >=2.6.0
examples/tensorflow/image-classification/requirements.txt
pypi
- datasets >=1.17.0
- evaluate *
- tensorflow >=2.4
examples/tensorflow/language-modeling/requirements.txt
pypi
- datasets >=1.8.0
- sentencepiece *
examples/tensorflow/language-modeling-tpu/requirements.txt
pypi
- datasets ==2.9.0
- tokenizers ==0.13.2
- transformers ==4.26.1
examples/tensorflow/multiple-choice/requirements.txt
pypi
- protobuf *
- sentencepiece *
- tensorflow >=2.3
examples/tensorflow/question-answering/requirements.txt
pypi
- datasets >=1.4.0
- evaluate >=0.2.0
- tensorflow >=2.3.0
examples/tensorflow/summarization/requirements.txt
pypi
- datasets >=1.4.0
- evaluate >=0.2.0
- tensorflow >=2.3.0
examples/tensorflow/text-classification/requirements.txt
pypi
- datasets >=1.1.3
- evaluate >=0.2.0
- protobuf *
- sentencepiece *
- tensorflow >=2.3
examples/tensorflow/token-classification/requirements.txt
pypi
- datasets >=1.4.0
- evaluate >=0.2.0
- tensorflow >=2.3.0
examples/tensorflow/translation/requirements.txt
pypi
- datasets >=1.4.0
- evaluate >=0.2.0
- tensorflow >=2.3.0
pyproject.toml
pypi