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:
- fe17030f0876dd74e2e9bcca37117ac46c3177f81316970f29bfdaeedc3e79ae
- Size of remote file:
- 499 MB
- SHA256:
- cd0b03d96beadabf4221aba83cde8b6239dcbb20cfdcb4062506465f50deeed3
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