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haes95
/
eCommerce-intent-classification

Text Classification
Transformers
Safetensors
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use haes95/eCommerce-intent-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use haes95/eCommerce-intent-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="haes95/eCommerce-intent-classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("haes95/eCommerce-intent-classification")
    model = AutoModelForSequenceClassification.from_pretrained("haes95/eCommerce-intent-classification")
  • Notebooks
  • Google Colab
  • Kaggle
eCommerce-intent-classification
369 MB
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  • 1 contributor
History: 3 commits
haes95's picture
haes95
Upload tokenizer
2c39949 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.18 kB
    Upload BertForSequenceClassification about 2 years ago
  • config.json
    2.83 kB
    Upload BertForSequenceClassification about 2 years ago
  • model.safetensors
    369 MB
    xet
    Upload BertForSequenceClassification about 2 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer about 2 years ago
  • tokenizer.json
    191 kB
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    1.25 kB
    Upload tokenizer about 2 years ago
  • vocab.txt
    69.8 kB
    Upload tokenizer about 2 years ago