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Brendar
/
MaBePa_STS

Fill-Mask
Transformers
PyTorch
Spanish
bert
feature-extraction
code
Model card Files Files and versions
xet
Community
1

Instructions to use Brendar/MaBePa_STS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Brendar/MaBePa_STS with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="Brendar/MaBePa_STS")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("Brendar/MaBePa_STS")
    model = AutoModel.from_pretrained("Brendar/MaBePa_STS")
  • Notebooks
  • Google Colab
  • Kaggle
MaBePa_STS
440 MB
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  • 1 contributor
History: 7 commits
Brendar's picture
Brendar
Upload tokenizer
b19b04f almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • README.md
    4.12 kB
    Update README.md almost 3 years ago
  • config.json
    703 Bytes
    Upload model almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "collections.OrderedDict",
    • "torch.LongStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage"

    What is a pickle import?

    439 MB
    xet
    Upload model almost 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer almost 3 years ago
  • tokenizer.json
    735 kB
    Upload tokenizer almost 3 years ago
  • tokenizer_config.json
    366 Bytes
    Upload tokenizer almost 3 years ago
  • vocab.txt
    248 kB
    Upload tokenizer almost 3 years ago