Instructions to use projecte-aina/roberta-base-ca-v2-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-v2-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-v2-cased-qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("projecte-aina/roberta-base-ca-v2-cased-qa") model = AutoModelForQuestionAnswering.from_pretrained("projecte-aina/roberta-base-ca-v2-cased-qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3710b4af5a79089c6578f0509d6039d20830f4c32a2bee59818c353854a63931
- Size of remote file:
- 496 MB
- SHA256:
- 151d697e1dcc8c40ac0a2bf25a9f8e535631d2b4ffd4a4f846fd85a2d165d23a
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