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)# 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

- Xet hash:
- 343f10ecd047fd5ddc32753a0526625eadb7432807258b3238d634219683d636
- Size of remote file:
- 149 kB
- SHA256:
- 43a3c8747917e9b524b39a8aebfbf558efdfc96d8dcb83f9606ba132cf9b4a1c
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