Instructions to use LTP/base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LTP/base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LTP/base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from LTP/base: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/LTP/base/resolve/97d6e77d2d7e93c435ec0fb297800f54964323be/pytorch_model.bin
- Command line
-
hf download hf://LTP/base@97d6e77d2d7e93c435ec0fb297800f54964323be/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/LTP/base/resolve/97d6e77d2d7e93c435ec0fb297800f54964323be/pytorch_model.bin
558 MB
- Xet hash:
- c2e775b5f5eefd5d53b0b029341d50113a89c2ce0b2bc49a5fdffeee8ca86c67
- Size of remote file:
- 558 MB
- SHA256:
- 30f651d5031f694e6320ceffc5fdba86c7681f0d9fe18dacab482e9c5e037bfb
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