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")# pip install -U transformers accelerate # 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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download images/datasets-random-comparison.png from bertin-project/bertin-roberta-base-spanish: direct link, hf CLI and curl.
- Browser
- Download file 28 kB
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https://huggingface.co/bertin-project/bertin-roberta-base-spanish/resolve/main/images/datasets-random-comparison.png
- Command line
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hf download hf://bertin-project/bertin-roberta-base-spanish/images/datasets-random-comparison.png
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curl -L -o datasets-random-comparison.png https://huggingface.co/bertin-project/bertin-roberta-base-spanish/resolve/main/images/datasets-random-comparison.png
28 kB
