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kanowest
/
beto-steam-reviews

Text Classification
Transformers
Safetensors
PyTorch
Spanish
bert
steam
reviews
beto
sentiment-analysis
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use kanowest/beto-steam-reviews with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use kanowest/beto-steam-reviews with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="kanowest/beto-steam-reviews")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("kanowest/beto-steam-reviews")
    model = AutoModelForSequenceClassification.from_pretrained("kanowest/beto-steam-reviews")
  • Notebooks
  • Google Colab
  • Kaggle
beto-steam-reviews
440 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
kanowest's picture
kanowest
Actualizando README.md
cb8727c verified 7 months ago
  • .gitattributes
    1.52 kB
    initial commit 7 months ago
  • README.md
    2.14 kB
    Actualizando README.md 7 months ago
  • config.json
    704 Bytes
    Añadiendo archivos del modelo 7 months ago
  • model.safetensors
    439 MB
    xet
    Añadiendo archivos del modelo 7 months ago
  • special_tokens_map.json
    695 Bytes
    Añadiendo archivos del modelo 7 months ago
  • tokenizer.json
    730 kB
    Añadiendo archivos del modelo 7 months ago
  • tokenizer_config.json
    1.27 kB
    Añadiendo archivos del modelo 7 months ago
  • vocab.txt
    242 kB
    Añadiendo archivos del modelo 7 months ago