Instructions to use projecte-aina/roberta-base-ca-cased-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use projecte-aina/roberta-base-ca-cased-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="projecte-aina/roberta-base-ca-cased-qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("projecte-aina/roberta-base-ca-cased-qa") model = AutoModelForQuestionAnswering.from_pretrained("projecte-aina/roberta-base-ca-cased-qa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27a19f1726fd8d2fd99e86c95b345733421ad63a0c79f8d288bbd997751f9e27
- Size of remote file:
- 502 MB
- SHA256:
- f7a32a38e7e90c4cd0f27aa3edb360a6b31f9464e941c11cd700e809db8c3043
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