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OMARS200
/
primer_modelo_hub

Text Classification
Transformers
google-tensorflow TensorFlow
bert
generated_from_keras_callback
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use OMARS200/primer_modelo_hub with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use OMARS200/primer_modelo_hub with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="OMARS200/primer_modelo_hub")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("OMARS200/primer_modelo_hub")
    model = AutoModelForSequenceClassification.from_pretrained("OMARS200/primer_modelo_hub")
  • Notebooks
  • Google Colab
  • Kaggle
primer_modelo_hub
434 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
OMARS200's picture
OMARS200
add config
ff50119 almost 4 years ago
  • .gitattributes
    1.34 kB
    initial commit almost 4 years ago
  • README.md
    1.34 kB
    End of training almost 4 years ago
  • config.json
    784 Bytes
    add config almost 4 years ago
  • special_tokens_map.json
    125 Bytes
    Training in progress epoch 0 almost 4 years ago
  • tf_model.h5
    434 MB
    xet
    End of training almost 4 years ago
  • tokenizer.json
    669 kB
    Training in progress epoch 0 almost 4 years ago
  • tokenizer_config.json
    347 Bytes
    Training in progress epoch 0 almost 4 years ago
  • vocab.txt
    213 kB
    Training in progress epoch 0 almost 4 years ago