Instructions to use LTP/base1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LTP/base1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LTP/base1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from LTP/base1: direct link, hf CLI and curl.
- Browser
- Download file 660 MB
-
https://huggingface.co/LTP/base1/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://LTP/base1@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/LTP/base1/resolve/refs%2Fpr%2F1/pytorch_model.bin
660 MB
- Xet hash:
- 3e9a0e901a253e9f05201fb28e542712294613d40a93151d8b17f53a8088aa8a
- Size of remote file:
- 660 MB
- SHA256:
- 8ade41e1f503915b3d4c168a1e48a0ce1cc909a6ead5fe20e2b702fa782dd9b9
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