Instructions to use ClassCat/roberta-base-catalan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ClassCat/roberta-base-catalan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ClassCat/roberta-base-catalan")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ClassCat/roberta-base-catalan") model = AutoModelForMaskedLM.from_pretrained("ClassCat/roberta-base-catalan") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa28a4e6fe93bdea79127adc3f29e658e5e2733e454c0fb40acaeccab28f9100
- Size of remote file:
- 498 MB
- SHA256:
- 54e861e73668fd35552097e3ac0bb33233edf7a1e93d48ddb2ebfce4de0554a4
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