Instructions to use binwang/RSE-BERT-large-STS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use binwang/RSE-BERT-large-STS with Transformers:
# Load model directly from transformers import AutoTokenizer, BertForRSE tokenizer = AutoTokenizer.from_pretrained("binwang/RSE-BERT-large-STS") model = BertForRSE.from_pretrained("binwang/RSE-BERT-large-STS") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c2a504b70b5d95f382a2e7289727efd7c1e275cb746aaa9c1bed96f402e2d4b4
- Size of remote file:
- 1.34 GB
- SHA256:
- a70449d1a5315c9541258c48a58b2844e432471bd52601ddf6cde69254b7d4fe
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