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mjpsm
/
checkin-detail-classifier

Text Classification
Transformers
Safetensors
distilbert
nlp
productivity
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use mjpsm/checkin-detail-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mjpsm/checkin-detail-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="mjpsm/checkin-detail-classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("mjpsm/checkin-detail-classifier")
    model = AutoModelForSequenceClassification.from_pretrained("mjpsm/checkin-detail-classifier")
  • Notebooks
  • Google Colab
  • Kaggle
checkin-detail-classifier
269 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
mjpsm's picture
mjpsm
Update README.md
b3629e6 verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    1.9 kB
    Update README.md about 2 months ago
  • config.json
    791 Bytes
    Upload DistilBertForSequenceClassification about 2 months ago
  • model.safetensors
    268 MB
    xet
    Upload DistilBertForSequenceClassification about 2 months ago
  • tokenizer.json
    712 kB
    Upload tokenizer about 2 months ago
  • tokenizer_config.json
    322 Bytes
    Upload tokenizer about 2 months ago