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:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LTP/base1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3e9a0e901a253e9f05201fb28e542712294613d40a93151d8b17f53a8088aa8a
- Size of remote file:
- 660 MB
- SHA256:
- 8ade41e1f503915b3d4c168a1e48a0ce1cc909a6ead5fe20e2b702fa782dd9b9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.