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chopratejas
/
technique-router

Text Classification
Transformers
Safetensors
English
bert
image-optimization
technique-routing
headroom
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use chopratejas/technique-router with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use chopratejas/technique-router with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="chopratejas/technique-router")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("chopratejas/technique-router")
    model = AutoModelForSequenceClassification.from_pretrained("chopratejas/technique-router")
  • Notebooks
  • Google Colab
  • Kaggle
technique-router
134 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
chopratejas's picture
chopratejas
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639f08a verified 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    2.97 kB
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  • config.json
    840 Bytes
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  • label_mapping.json
    196 Bytes
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  • model.safetensors
    133 MB
    xet
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    1.3 kB
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  • vocab.txt
    232 kB
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