Instructions to use bertin-project/bertin-roberta-base-spanish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bertin-project/bertin-roberta-base-spanish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="bertin-project/bertin-roberta-base-spanish")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("bertin-project/bertin-roberta-base-spanish") model = AutoModelForMaskedLM.from_pretrained("bertin-project/bertin-roberta-base-spanish") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e445154f5e898ab54b4d66a8397b84ae533c9e1eddd9998a6a75bfe152901294
- Size of remote file:
- 499 MB
- SHA256:
- 60854158e9519e9a317cc15723d129883d6e5fb25cf13b60303ff9d9fb4bf4f4
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