Instructions to use shtoshni/longformer_coreference_ontonotes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shtoshni/longformer_coreference_ontonotes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="shtoshni/longformer_coreference_ontonotes")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("shtoshni/longformer_coreference_ontonotes") model = AutoModel.from_pretrained("shtoshni/longformer_coreference_ontonotes", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d810ccd2db6b74d2612bd2e3ae4767333f63cd636231662688507824500e9bd6
- Size of remote file:
- 1.74 GB
- SHA256:
- f7bd0a2d41040080d45fc9e78e98bd63f7a9592b6c1f7a794164d7d608810459
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