Instructions to use BSC-LT/roberta-base-ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BSC-LT/roberta-base-ca with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="BSC-LT/roberta-base-ca")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("BSC-LT/roberta-base-ca") model = AutoModelForMaskedLM.from_pretrained("BSC-LT/roberta-base-ca", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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license: apache-2.0
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# BERTa: RoBERTa-based Catalan language model
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## BibTeX citation
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license: apache-2.0
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**⚠️NOTICE⚠️: THIS MODEL HAS BEEN MOVED TO THE FOLLOWING URL AND WILL SOON BE REMOVED:** https://huggingface.co/PlanTL-GOB-ES/roberta-base-ca
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# BERTa: RoBERTa-based Catalan language model
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## BibTeX citation
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