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ixa-ehu
/
berteus-base-cased

Feature Extraction
Transformers
PyTorch
JAX
Safetensors
Basque
bert
Model card Files Files and versions
xet
Community
1

Instructions to use ixa-ehu/berteus-base-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ixa-ehu/berteus-base-cased with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="ixa-ehu/berteus-base-cased")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("ixa-ehu/berteus-base-cased")
    model = AutoModel.from_pretrained("ixa-ehu/berteus-base-cased")
  • Notebooks
  • Google Colab
  • Kaggle
berteus-base-cased
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  • 5 contributors
History: 17 commits
ixa-ehu's picture
ixa-ehu
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
fbe2b0c over 2 years ago
  • .gitattributes
    445 Bytes
    Adding `safetensors` variant of this model (#1) over 2 years ago
  • LICENSE
    18.7 kB
    Added license file over 5 years ago
  • README.md
    1.46 kB
    Migrate model card from transformers-repo over 5 years ago
  • config.json
    450 Bytes
    Update config.json about 6 years ago
  • flax_model.msgpack
    498 MB
    xet
    upload flax model almost 5 years ago
  • model.safetensors
    498 MB
    xet
    Adding `safetensors` variant of this model (#1) over 2 years ago
  • pytorch_model.bin
    498 MB
    xet
    Update pytorch_model.bin about 6 years ago
  • tokenizer_config.json
    24 Bytes
    Update tokenizer_config.json over 5 years ago
  • vocab.txt
    422 kB
    Update vocab.txt about 6 years ago