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Package Details: python-transformers 5.12.1-1
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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: | 18 |
| Popularity: | 0.74 |
| First Submitted: | 2021-10-23 09:30 (UTC) |
| Last Updated: | 2026-07-01 09:28 (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-safetensors
- python-tokenizersAUR (python-tokenizers-binAUR)
- 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-gitAUR, python-bitsandbytesAUR, python-bitsandbytes-rocmAUR, python-bitsandbytes-rocm-gitAUR) (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-cuda12.9AUR, python-pytorch-opt-cuda12.9AUR, python-pytorch-cuda, python-pytorch-opt, python-pytorch-opt-cuda, python-pytorch-opt-rocm, python-pytorch-opt-xpu, python-pytorch-rocm, python-pytorch-xpu) (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 (122)
- agent-cli
- beellama.cpp-cuda (optional)
- buun-llama.cpp-hip (optional)
- clockwork-orange-git (optional)
- comfyui-system
- coqui-tts
- dsnote (optional)
- dsnote-git (optional)
- gaia-amd
- gimp-openvino
- greenboost (optional)
- gundog
- headroom-ai (optional)
- ik-llama.cpp (optional)
- ik-llama.cpp-cuda (optional)
- ik-llama.cpp-cuda-git (optional)
- ik-llama.cpp-vulkan (optional)
- llama-benchy
- llama.cpp (optional)
- llama.cpp-clblast (optional)
- llama.cpp-cuda (optional)
- llama.cpp-cuda-essentials-only (optional)
- llama.cpp-cuda-git (optional)
- llama.cpp-gfx1151 (optional)
- llama.cpp-gfx1152 (optional)
- llama.cpp-git (optional)
- llama.cpp-hip (optional)
- llama.cpp-hip-gfx1151 (optional)
- llama.cpp-hip-git (optional)
- llama.cpp-opencl (optional)
- llama.cpp-openvino (optional)
- llama.cpp-vulkan (optional)
- llama.cpp-vulkan-gemma4 (optional)
- llama.cpp-vulkan-git (optional)
- localai-git
- localai-git-cuda
- localai-git-rocm
- manga-ocr-git
- mokuro
- monailabel (optional)
- open-webui-no-venv
- openjiuwen (optional)
- pix2tex
- python-accelerate (check)
- python-ai-dynamo
- python-aqlm
- python-auralis
- python-bark-git
- python-bertviz
- python-bitsandbytes-git
- python-chatterbox-tts
- python-colbert-ai
- python-compressed-tensors
- python-compressed-tensors (check)
- python-compressed-tensors-git
- python-coremltools
- python-curated-transformers
- python-deepmultilingualpunctuation
- python-deepspeed
- python-diffsynth
- python-dmt
- python-docling (optional)
- python-docling-ibm-models
- python-evaluate (optional)
- python-flash-linear-attention
- python-gradio (check)
- python-kokoro
- python-liger-kernel (optional)
- python-livekit-plugins-turn-detector
- python-llama-cpp-cuda
- python-llama-cpp-cuda-git
- python-llama-cpp-hip
- python-llama-cpp-vulkan
- python-lm-eval (optional)
- python-mamba-ssm
- python-manga-ocr
- python-mineru (optional)
- python-misaki-en
- python-monai (optional)
- python-nanotron (optional)
- python-nemo-toolkit (optional)
- python-nllw
- python-nvidia-modelopt (optional)
- python-open-clip-torch (optional)
- python-optimum
- python-optimum-onnx
- python-optimum-quanto (optional)
- python-outetts
- python-outlines (optional)
- python-peft
- python-pydantic-ai (optional)
- python-pydantic-ai-slim (optional)
- python-sentence-transformers
- python-smolagents (optional)
- python-spacy-curated-transformers
- python-spacy-transformers
- python-speechbrain (optional)
- python-speechmatics-voice (optional)
- python-surya-ocr
- python-tensorrt-llm
- python-torchmetrics (optional)
- python-trl
- python-tts-git (optional)
- python-underthesea
- python-unsloth
- python-unsloth-zoo
- python-verl
- python-vllm
- python-vllm-bin
- python-vllm-cuda
- python-vllm-rocm
- python-vllm-rocm-git
- python-wtpsplit
- python-xformers-bin (optional)
- python-xgrammar
- rocmfp4-llama.cpp-git (optional)
- sdiff-gtk
- sdiff-gtk-git
- sglang
- sglang-git
- switchgen-git
- whisperlivekit (optional)
Latest Comments
« First ‹ Previous 1 2 3 4 5 6 7 Next › Last »
racehd commented on 2025-11-06 13:40 (UTC) (edited on 2025-11-06 13:57 (UTC) by racehd)
Hello, thank you for maintaining this. I am getting the same error during
checkstage:Which I realize is an issue with the upstream having the import step check the version of huggingface-hub hardcoded into it. It did seem strange to me that what triggered the python-transformers update was the update to huggingface-hub, even though the two versions are incompatible. But thinking about it differently:
Had python-transformers NOT updated (suggested below), then anything trying to import transformers would still fail because:
I'm not really sure what the best solution there is besides users downgrading huggingface-hub and managing their versions themselves (which is what I did for now).
envolution commented on 2025-07-29 22:30 (UTC)
@daskol I'm confused how you're running checks before bumping the version if the required version of huggingface-hub was released 2 hours ago
daskol commented on 2025-07-29 21:05 (UTC)
@envolution Of course, stage
checkinPKGBUILDaddresses exactly this issue.https://gitlab.archlinux.org/archlinux/packaging/packages/python-huggingface-hub/-/commits/main/PKGBUILD?ref_type=heads
envolution commented on 2025-07-29 01:39 (UTC)
@daskol out of curiosity, are you running build tests before bumping versions? There's a number of packages that depend on this and it may be worthwhile to withhold version increments until upstream dependencies dependencies catch up:
If you would like I can help with this
daskol commented on 2025-04-07 08:09 (UTC) (edited on 2025-04-07 08:09 (UTC) by daskol)
NOTE The next v4.51.0 requires
xet-core(transitive throughpython-huggingface-hub>=1:0.30.0). It is now under testing in extra-testing.envolution commented on 2025-03-28 20:42 (UTC)
no worries, I think they intended to publish 4.50.3 but somehow used the previous version tag - agree with all of your sentiments on the issue log
daskol commented on 2025-03-28 19:57 (UTC)
@envolution Thank you for reporting the issue.
HF maintainers indeed have changed release v4.50.2 (checksums of my backed up and newly downloaded tarball differ). Here is the issue to track an incident on HF side.
envolution commented on 2025-03-28 16:18 (UTC)
Yeah the new archive tagged 4.50.2 actually builds a wheel called
dist/transformers-4.50.3-py3-none-any.whl- so the package section fails:here's the wheel after build succeeds:
envolution commented on 2025-03-28 16:13 (UTC)
they probably replaced the archive for some reason, the correct shasum is:
sha256sums=('50e286552ddef214d49f75ac2ab5acd68efbc1c57b9930ead2e6d04f197e9024')
trougnouf commented on 2025-03-21 13:08 (UTC) (edited on 2025-03-21 13:11 (UTC) by trougnouf)
Thanks! That's now fixed in
python-safetensors-binarchlinux-ai seemed enticing but I don't feel comfortable adding a Moscow-based maintainer to my trusted keys.
(I realize that's you and I appreciate your work and hope things improve one day.)
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