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junaebchile
/
beto-base-solicitudes-transparencia-finetuned

Text Classification
Transformers
Safetensors
Spanish
bert
beto
spanish
transparency
classification
clasificacion
solicitudes
transparencia
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use junaebchile/beto-base-solicitudes-transparencia-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use junaebchile/beto-base-solicitudes-transparencia-finetuned with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="junaebchile/beto-base-solicitudes-transparencia-finetuned")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("junaebchile/beto-base-solicitudes-transparencia-finetuned")
    model = AutoModelForSequenceClassification.from_pretrained("junaebchile/beto-base-solicitudes-transparencia-finetuned")
  • Notebooks
  • Google Colab
  • Kaggle
beto-base-solicitudes-transparencia-finetuned
440 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
marayagomez's picture
marayagomez
Update README.md
bf7795c verified 5 months ago
  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • README.md
    3.84 kB
    Update README.md 5 months ago
  • config.json
    1.13 kB
    Upload 6 files 5 months ago
  • model.safetensors
    439 MB
    xet
    Upload 6 files 5 months ago
  • special_tokens_map.json
    695 Bytes
    Upload 6 files 5 months ago
  • tokenizer.json
    730 kB
    Upload 6 files 5 months ago
  • tokenizer_config.json
    1.46 kB
    Upload 6 files 5 months ago
  • vocab.txt
    242 kB
    Upload 6 files 5 months ago