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heado
/
model_output

Text Classification
Transformers
TensorBoard
Safetensors
bert
HHD
10_class
multi_labels
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use heado/model_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use heado/model_output with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="heado/model_output")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("heado/model_output")
    model = AutoModelForSequenceClassification.from_pretrained("heado/model_output")
  • Notebooks
  • Google Colab
  • Kaggle
model_output
437 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
heado's picture
heado
heado
4b6e0d1 verified over 1 year ago
  • runs
    heado over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    1.62 kB
    heado over 1 year ago
  • config.json
    1.3 kB
    heado over 1 year ago
  • model.safetensors
    436 MB
    xet
    heado over 1 year ago
  • special_tokens_map.json
    125 Bytes
    heado over 1 year ago
  • tokenizer.json
    721 kB
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  • tokenizer_config.json
    1.24 kB
    heado over 1 year ago
  • training_args.bin
    5.18 kB
    xet
    heado over 1 year ago
  • vocab.txt
    250 kB
    heado over 1 year ago