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MartinB77
/
product-classifier-model-B2

Text Classification
Transformers
Safetensors
PyTorch
English
distilbert
product-classification
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use MartinB77/product-classifier-model-B2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MartinB77/product-classifier-model-B2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="MartinB77/product-classifier-model-B2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("MartinB77/product-classifier-model-B2")
    model = AutoModelForSequenceClassification.from_pretrained("MartinB77/product-classifier-model-B2")
  • Notebooks
  • Google Colab
  • Kaggle
product-classifier-model-B2
269 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
MartinB77's picture
MartinB77
Update README.md
d217128 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    2.49 kB
    Update README.md about 1 year ago
  • config.json
    1.68 kB
    Upload folder using huggingface_hub about 1 year ago
  • model.safetensors
    268 MB
    xet
    Upload folder using huggingface_hub about 1 year ago
  • special_tokens_map.json
    125 Bytes
    Upload folder using huggingface_hub about 1 year ago
  • tokenizer.json
    712 kB
    Upload folder using huggingface_hub about 1 year ago
  • tokenizer_config.json
    1.23 kB
    Upload folder using huggingface_hub about 1 year ago
  • vocab.txt
    232 kB
    Upload folder using huggingface_hub about 1 year ago