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:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LTP/small", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5429e8c5e4c261d777f795f71dac1acb8d5cdf0b5570c344e2999053ef1e177c
- Size of remote file:
- 175 MB
- SHA256:
- e9c627c7b6756d04464944210de5cddce23d0bb385b1ea890f7aa39b71a13d5f
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