Instructions to use binwang/RSE-RoBERTa-base-STS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use binwang/RSE-RoBERTa-base-STS with Transformers:
# Load model directly from transformers import AutoTokenizer, RoBERTaForRSE tokenizer = AutoTokenizer.from_pretrained("binwang/RSE-RoBERTa-base-STS") model = RoBERTaForRSE.from_pretrained("binwang/RSE-RoBERTa-base-STS") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac2aaf3ec4059b096d7bc5cb0e3c18cbd141949bfe50a93ec888e0e7b081f5ed
- Size of remote file:
- 499 MB
- SHA256:
- 59d76a26aa29f800f88a7cf081f9cc72243ce02ee4ac11e6afde596341aafeed
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