Fill-Mask
Transformers
PyTorch
Safetensors
English
Spanish
roberta
biomedical
medical
clinical
spanish
multilingual
Instructions to use HiTZ/EriBERTa-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HiTZ/EriBERTa-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HiTZ/EriBERTa-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("HiTZ/EriBERTa-base") model = AutoModelForMaskedLM.from_pretrained("HiTZ/EriBERTa-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download eriberta_icon.png from HiTZ/EriBERTa-base: direct link, hf CLI and curl.
- Browser
- Download file 71.2 kB
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https://huggingface.co/HiTZ/EriBERTa-base/resolve/main/eriberta_icon.png
- Command line
-
hf download hf://HiTZ/EriBERTa-base/eriberta_icon.png
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curl -L -o eriberta_icon.png https://huggingface.co/HiTZ/EriBERTa-base/resolve/main/eriberta_icon.png
71.2 kB