Instructions to use tencent/Youtu-HiChunk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tencent/Youtu-HiChunk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="tencent/Youtu-HiChunk", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tencent/Youtu-HiChunk", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download assets/case2.png from tencent/Youtu-HiChunk: direct link, hf CLI and curl.
- Browser
- Download file 504 kB
-
https://huggingface.co/tencent/Youtu-HiChunk/resolve/main/assets/case2.png
- Command line
-
hf download hf://tencent/Youtu-HiChunk/assets/case2.png
-
curl -L -o case2.png https://huggingface.co/tencent/Youtu-HiChunk/resolve/main/assets/case2.png
504 kB

- Xet hash:
- 75dd06cd7a88bade6e8848ecdbd772c8bed83e90580a9a3d6b83de9aca1d1014
- Size of remote file:
- 504 kB
- SHA256:
- 2c92ac59dfa64157dddbd9028e91e7d27e3c25150488112248e31a62743c9503
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