Instructions to use binwang/RSE-RoBERTa-large-Transfer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use binwang/RSE-RoBERTa-large-Transfer with Transformers:
# Load model directly from transformers import AutoTokenizer, RoBERTaForRSE tokenizer = AutoTokenizer.from_pretrained("binwang/RSE-RoBERTa-large-Transfer") model = RoBERTaForRSE.from_pretrained("binwang/RSE-RoBERTa-large-Transfer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 70caf15fd37ace740288ccb0da90ac3ee61666c8502f6e66a1e9758861303508
- Size of remote file:
- 1.42 GB
- SHA256:
- d9ef2520c1a666c0a3376e7befdce5f747146bcbe0e4e3600e489ca589bab7c8
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