Instructions to use biu-nlp/lingmess-coref with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use biu-nlp/lingmess-coref with Transformers:
# Load model directly from transformers import AutoTokenizer, LingMessCoref tokenizer = AutoTokenizer.from_pretrained("biu-nlp/lingmess-coref") model = LingMessCoref.from_pretrained("biu-nlp/lingmess-coref", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 343d1dc84bc92f2ed9aa5fc4768bd48518e7f73c74dcbc4707c27890c10d9fb8
- Size of remote file:
- 2.36 GB
- SHA256:
- d11d20532e7363dd1f2d13f2fc2deb5e89839dfd47733eda017f7a317a5b21af
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