Instructions to use rahulkhandelw/fcoref150 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rahulkhandelw/fcoref150 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("rahulkhandelw/fcoref150") model = AutoModel.from_pretrained("rahulkhandelw/fcoref150") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb9f96af817f535454ab0d14f96249b3119014560e1da6313085b9ac16483516
- Size of remote file:
- 362 MB
- SHA256:
- 9bb05508f5dc81add2f94f8398dda5f6df37f9abe65a70240bcf821fd45fb7d7
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