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 tokenizer_config.json from LTP/small: direct link, hf CLI and curl.
- Browser
- Download file 19 Bytes
-
https://huggingface.co/LTP/small/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://LTP/small/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/LTP/small/resolve/main/tokenizer_config.json
19 Bytes
| {"init_inputs": []} |