Instructions to use rahulkhandelw/coref with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rahulkhandelw/coref with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("rahulkhandelw/coref") model = AutoModel.from_pretrained("rahulkhandelw/coref") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9b9de11c60dab5e023f9ae5a13078a9486c655f91239808760afb93497d25a0
- Size of remote file:
- 362 MB
- SHA256:
- 5cd10af11b43fd1911bfa5da02d13b97f6dbd571190ee81ab864e72f06c3acb9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.