Instructions to use LTP/small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LTP/small with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LTP/small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from LTP/small: direct link, hf CLI and curl.
- Browser
- Download file 180 MB
-
https://huggingface.co/LTP/small/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://LTP/small/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/LTP/small/resolve/main/pytorch_model.bin
180 MB
- Xet hash:
- 251e0ef880a5e497855af8ac70fac3130298a85a88f114f272a61440c27b4bf4
- Size of remote file:
- 180 MB
- SHA256:
- a64f412c8fc2181d228d1bea7da15f391dfe395f9073f97da250054f847869dc
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