Instructions to use hlt-lab/poe-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hlt-lab/poe-roberta-large with Transformers:
# Load model directly from transformers import AutoTokenizer, RobertaForDialogueEvaluation tokenizer = AutoTokenizer.from_pretrained("hlt-lab/poe-roberta-large") model = RobertaForDialogueEvaluation.from_pretrained("hlt-lab/poe-roberta-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b9f04b90e7418ab5925092ab377101c1403eb4f00267ba7479a4e6b8fad81a9
- Size of remote file:
- 1.42 GB
- SHA256:
- 047e76ea8aaed876faa61dc756265ee3f9f9af1ff1199937fe057e38ae8d703d
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