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Package Details: python-transformers 5.2.0-1
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| Git Clone URL: | https://aur.archlinux.org/python-transformers.git (read-only, click to copy) |
|---|---|
| Package Base: | python-transformers |
| Description: | State-of-the-art pretrained models for inference and training |
| Upstream URL: | https://github.com/huggingface/transformers |
| Keywords: | huggingface transformers |
| Licenses: | Apache-2.0 |
| Submitter: | filipg |
| Maintainer: | daskol |
| Last Packager: | daskol |
| Votes: | 16 |
| Popularity: | 0.082119 |
| First Submitted: | 2021-10-23 09:30 (UTC) |
| Last Updated: | 2026-02-16 20:25 (UTC) |
Dependencies (22)
- python-huggingface-hub (python-huggingface-hub-gitAUR)
- python-numpy (python-numpy-gitAUR, python-numpy-mkl-binAUR, python-numpy1AUR, python-numpy-mkl-tbbAUR, python-numpy-mklAUR)
- python-packaging
- python-regex (python-regex-gitAUR)
- python-safetensorsAUR (python-safetensors-binAUR)
- python-tokenizersAUR
- python-tqdm
- python-typer
- python-yaml (python-yaml-gitAUR)
- python-build (make)
- python-installer (make)
- python-setuptools (make)
- python-wheel (make)
- python-bitsandbytesAUR (python-bitsandbytes-rocm-gitAUR, python-bitsandbytes-gitAUR, python-bitsandbytesAUR) (optional) – 8-bit support for PyTorch
- python-flaxAUR (optional) – JAX support
- python-hf-xet (optional) – xethub support
- python-keras (python-keras-gitAUR) (optional) – Support for models in Keras 3
- python-onnxconverter-commonAUR (optional) – TensorFlow support
- python-pytorch (python-pytorch-cxx11abiAUR, python-pytorch-cxx11abi-optAUR, python-pytorch-cxx11abi-cudaAUR, python-pytorch-cxx11abi-opt-cudaAUR, python-pytorch-cxx11abi-rocmAUR, python-pytorch-cxx11abi-opt-rocmAUR, python-pytorch-cuda12.9AUR, python-pytorch-opt-cuda12.9AUR, python-pytorch-cuda, python-pytorch-opt, python-pytorch-opt-cuda, python-pytorch-opt-rocm, python-pytorch-rocm) (optional) – PyTorch support
- python-tensorflow (python-tensorflow-computecppAUR, python-tensorflow-rocmAUR, python-tensorflow-opt-rocmAUR, python-tensorflow-cuda, python-tensorflow-opt, python-tensorflow-opt-cuda) (optional) – TensorFlow support
- Show 2 more dependencies...
Required by (81)
- agent-cli
- clockwork-orange-git (optional)
- coqui-tts (optional)
- dsnote (optional)
- dsnote-git (optional)
- gundog
- ik-llama.cpp (optional)
- ik-llama.cpp-cuda (optional)
- ik-llama.cpp-cuda-git (optional)
- ik-llama.cpp-vulkan (optional)
- llama.cpp (optional)
- llama.cpp-aio (optional)
- llama.cpp-cuda (optional)
- llama.cpp-cuda-git (optional)
- llama.cpp-hip (optional)
- llama.cpp-vulkan (optional)
- localai-git
- localai-git-cuda
- localai-git-rocm
- localbooru-donut (optional)
- Show 61 more...
Latest Comments
1 2 3 4 5 6 Next › Last »
daskol commented on 2026-02-05 21:18 (UTC)
@shayaknyc I have bumped
pkgrelofpython-safetensorsin order to triggerpython-safetensorsrebuild (or just notify that the package should be rebuilt).shayaknyc commented on 2026-02-02 21:35 (UTC)
@lightdot - yes, you are correct. I manually had to recompile
python-safetensors, and then this just worked. Thank you!lightdot commented on 2026-02-02 21:33 (UTC) (edited on 2026-02-02 21:34 (UTC) by lightdot)
@shayaknyc, I suspect that python-safetensors package in your build environment wasn't rebuilt after python was updated to 3.14. This should be done manually, package version didn't change.
shayaknyc commented on 2026-02-02 19:45 (UTC)
Anyone else getting these build errors?
Zerout commented on 2026-01-26 09:53 (UTC)
The final release of v5.0.0 is out.
https://github.com/huggingface/transformers/releases/tag/v5.0.0
daskol commented on 2025-11-22 20:32 (UTC)
@F1729 I just relax dependency version check on
huggingface-hub. It seems working withextra/python-huggingface-hub.shayaknyc commented on 2025-11-17 17:31 (UTC)
@F1729 - thank you so much! This helped! Appreciate you!
F1729 commented on 2025-11-17 17:25 (UTC) (edited on 2025-11-17 17:25 (UTC) by F1729)
@shaynaknyc You can locally resolve the issue by downgrading the package "python-huggingface-hub" to the last compatible version, 0.36.0.
@daskol Would it make sense to specify the dependency to "python-huggingface-hub < 1.0" until the issue is resolved upstream?
shayaknyc commented on 2025-11-12 17:45 (UTC)
Sooo....like....do we just sit and wait for upstream to fix this? Is there no workaround or manually applied fix?
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