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:
- 2746585e2e858b881830bc90b4365897efeebbebaecbdd30dc4c1f83235378ed
- Size of remote file:
- 2.74 kB
- SHA256:
- e38cf4473f5bb03bbe97cdb2f062e5014d7db1c4462119982eb0cc9f4b1d4305
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