Instructions to use akdeniz27/roberta-large-cuad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akdeniz27/roberta-large-cuad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="akdeniz27/roberta-large-cuad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("akdeniz27/roberta-large-cuad") model = AutoModelForQuestionAnswering.from_pretrained("akdeniz27/roberta-large-cuad") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2b2100818dd324c66c7510de3ddb42fab706255ed630e11d2f07c70def714b5
- Size of remote file:
- 1.42 GB
- SHA256:
- 2934b6684b84f5c85745850e1d78169edc0277d0bd1fab631ad9f76c299429a7
路
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