Instructions to use binwang/RSE-RoBERTa-base-10-relations with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use binwang/RSE-RoBERTa-base-10-relations with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, RoBERTaForRSE tokenizer = AutoTokenizer.from_pretrained("binwang/RSE-RoBERTa-base-10-relations") model = RoBERTaForRSE.from_pretrained("binwang/RSE-RoBERTa-base-10-relations", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from binwang/RSE-RoBERTa-base-10-relations: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/binwang/RSE-RoBERTa-base-10-relations/resolve/main/tokenizer.json
- Command line
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hf download hf://binwang/RSE-RoBERTa-base-10-relations/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/binwang/RSE-RoBERTa-base-10-relations/resolve/main/tokenizer.json
2.11 MB
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