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Sifter
/
product-classify-name-uom-v2

Text Classification
Transformers
TensorBoard
Safetensors
bert
Trained with AutoTrain
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Sifter/product-classify-name-uom-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Sifter/product-classify-name-uom-v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Sifter/product-classify-name-uom-v2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Sifter/product-classify-name-uom-v2")
    model = AutoModelForSequenceClassification.from_pretrained("Sifter/product-classify-name-uom-v2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
product-classify-name-uom-v2 / runs
1.05 MB
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  • 1 contributor
History: 16 commits
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timothy-s-franklin
Upload folder using huggingface_hub
a78d8d7 verified over 1 year ago
  • Feb21_17-33-31_r-timothy-s-franklin-product-categorization-tucojrtl-46b98-xe2a
    Upload folder using huggingface_hub over 1 year ago