Instructions to use gomgomcode/bio_patent_roberta_simcse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gomgomcode/bio_patent_roberta_simcse with Transformers:
# Load model directly from transformers import AutoTokenizer, RobertaForCL tokenizer = AutoTokenizer.from_pretrained("gomgomcode/bio_patent_roberta_simcse") model = RobertaForCL.from_pretrained("gomgomcode/bio_patent_roberta_simcse") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a87bb09e73eb88a27cf8041f8f4b71b08e34e483f48ade00ee59d114507990e
- Size of remote file:
- 502 MB
- SHA256:
- b3eb63beed4d0f6340babb247ba8095dc5d555575d6c14dccf3d5afa0385c690
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