Instructions to use Rakib/roberta-base-on-cuad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rakib/roberta-base-on-cuad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Rakib/roberta-base-on-cuad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Rakib/roberta-base-on-cuad") model = AutoModelForQuestionAnswering.from_pretrained("Rakib/roberta-base-on-cuad") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7960e0a27c3b2a644572d157df80585c6491680cf769e38b08ede5951406f35b
- Size of remote file:
- 2.54 kB
- SHA256:
- 174c5a7c29ab087c853168ae3eed529e1aca3fd3bb662df0433994531450b2b7
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