Instructions to use binwang/RSE-BERT-large-Transfer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use binwang/RSE-BERT-large-Transfer with Transformers:
# Load model directly from transformers import AutoTokenizer, BertForRSE tokenizer = AutoTokenizer.from_pretrained("binwang/RSE-BERT-large-Transfer") model = BertForRSE.from_pretrained("binwang/RSE-BERT-large-Transfer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a4f3fa78ec85307646b111cf4f8d1ae1ff8742c1afd8d983a0072b90007731c
- Size of remote file:
- 1.34 GB
- SHA256:
- 193abf9f1adf2174d85c67d261d87810e85f4454b474273a5104b141ab229d1d
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