Instructions to use shtoshni/longformer_coreference_joint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shtoshni/longformer_coreference_joint with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="shtoshni/longformer_coreference_joint")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("shtoshni/longformer_coreference_joint") model = AutoModel.from_pretrained("shtoshni/longformer_coreference_joint") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a60e3099a8b3cc9f251919a1c793fd63a8dd06c19bbb0ecb9dbde79ab409ac8
- Size of remote file:
- 1.74 GB
- SHA256:
- 6f5673c46d0d7759269ed0c00ec11458bebf6b708dd7e0ce9bd92292aac8a951
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