Instructions to use binwang/RSE-BERT-large-10-relations with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use binwang/RSE-BERT-large-10-relations with Transformers:
# Load model directly from transformers import AutoTokenizer, BertForRSE tokenizer = AutoTokenizer.from_pretrained("binwang/RSE-BERT-large-10-relations") model = BertForRSE.from_pretrained("binwang/RSE-BERT-large-10-relations", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f25b6c720741e232cad2b288baaa43d67afa10bd0d71f093adeebcc6262786ee
- Size of remote file:
- 1.34 GB
- SHA256:
- fa2916618402e00a4a9f919a9db3f6c7ac2ce54dbc684b6ba7c6f22cefdb4cd7
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