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
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- [Citation Information](#citation-information)
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- [Funding](#funding)
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- [Contributions](#contributions)
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## Model description
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## Contributions
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- [Citation Information](#citation-information)
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- [Funding](#funding)
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- [Contributions](#contributions)
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- [Disclaimer](#disclaimer)
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## Model description
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## Contributions
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## Disclaimer
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<details>
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<summary>Click to expand</summary>
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The models published in this repository are intended for a generalist purpose and are available to third parties. These models may have bias and/or any other undesirable distortions.
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When third parties, deploy or provide systems and/or services to other parties using any of these models (or using systems based on these models) or become users of the models, they should note that it is their responsibility to mitigate the risks arising from their use and, in any event, to comply with applicable regulations, including regulations regarding the use of Artificial Intelligence.
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In no event shall the owner and creator of the models (BSC – Barcelona Supercomputing Center) be liable for any results arising from the use made by third parties of these models.
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