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HiTZ
/
EriBERTa-base

Fill-Mask
Transformers
PyTorch
Safetensors
English
Spanish
roberta
biomedical
medical
clinical
spanish
multilingual
Model card Files Files and versions
xet
Community
1

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")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("HiTZ/EriBERTa-base")
    model = AutoModelForMaskedLM.from_pretrained("HiTZ/EriBERTa-base")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
EriBERTa-base
1.08 GB
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  • 2 contributors
History: 5 commits
IDelaIglesia's picture
IDelaIglesia
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
a1221b6 verified 10 months ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    7.97 kB
    Update README.md almost 2 years ago
  • config.json
    638 Bytes
    Model Upload almost 2 years ago
  • eriberta_icon.png
    71.2 kB
    Model Upload almost 2 years ago
  • merges.txt
    719 kB
    Model Upload almost 2 years ago
  • model.safetensors
    541 MB
    xet
    Adding `safetensors` variant of this model (#1) 10 months ago
  • pytorch_model.bin
    541 MB
    xet
    Model Upload almost 2 years ago
  • special_tokens_map.json
    772 Bytes
    Model Upload almost 2 years ago
  • tokenizer_config.json
    1.27 kB
    Update tokenizer_config.json almost 2 years ago
  • vocab.json
    1.09 MB
    Model Upload almost 2 years ago