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Anwaarma
/
robertuito-esp

Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Anwaarma/robertuito-esp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Anwaarma/robertuito-esp with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Anwaarma/robertuito-esp")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Anwaarma/robertuito-esp")
    model = AutoModelForSequenceClassification.from_pretrained("Anwaarma/robertuito-esp", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
robertuito-esp
16.1 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 17 commits
Anwaarma's picture
Anwaarma
Anwaarma/robertuito-esp
8838ab3 verified over 1 year ago
  • run-0
    Training in progress, step 500 over 1 year ago
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  • runs
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  • .gitattributes
    1.52 kB
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  • README.md
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  • config.json
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  • model.safetensors
    435 MB
    xet
    Anwaarma/robertuito-esp over 1 year ago
  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • training_args.bin
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