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mdiazmedina
/
classifier-for-text

Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use mdiazmedina/classifier-for-text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mdiazmedina/classifier-for-text with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="mdiazmedina/classifier-for-text")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("mdiazmedina/classifier-for-text")
    model = AutoModelForSequenceClassification.from_pretrained("mdiazmedina/classifier-for-text")
  • Notebooks
  • Google Colab
  • Kaggle
classifier-for-text
269 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
mdiazmedina's picture
mdiazmedina
Update config.json
09ab71b verified 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    1.59 kB
    End of training 3 months ago
  • config.json
    753 Bytes
    Update config.json 3 months ago
  • model.safetensors
    268 MB
    xet
    Training in progress, step 626 3 months ago
  • special_tokens_map.json
    125 Bytes
    Training in progress, step 500 3 months ago
  • tokenizer.json
    712 kB
    Training in progress, step 500 3 months ago
  • tokenizer_config.json
    1.23 kB
    Training in progress, step 500 3 months ago
  • training_args.bin
    5.37 kB
    xet
    Training in progress, step 500 3 months ago
  • vocab.txt
    232 kB
    Training in progress, step 500 3 months ago