Instructions to use LTP/legacy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LTP/legacy with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LTP/legacy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ad293e3146453e9c8f33d98e6be510f4209c6446c758d3b9b896bd7e3202904
- Size of remote file:
- 32 MB
- SHA256:
- 28fc2db628b27d4f69162d697d2294671784c7a61e0b4ce414e31060cfd20592
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.