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id66pj
/
runs

Text Classification
Transformers
Safetensors
mpnet
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use id66pj/runs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use id66pj/runs with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="id66pj/runs")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("id66pj/runs")
    model = AutoModelForSequenceClassification.from_pretrained("id66pj/runs")
  • Notebooks
  • Google Colab
  • Kaggle
runs
439 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
id66pj's picture
id66pj
id66pj/patentsberta-final-green
b358688 verified 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    1.56 kB
    id66pj/patentsberta-final-green 3 months ago
  • config.json
    666 Bytes
    id66pj/patentsberta-final-green 3 months ago
  • model.safetensors
    438 MB
    xet
    id66pj/patentsberta-final-green 3 months ago
  • tokenizer.json
    712 kB
    id66pj/patentsberta-final-green 3 months ago
  • tokenizer_config.json
    365 Bytes
    id66pj/patentsberta-final-green 3 months ago
  • training_args.bin
    5.2 kB
    xet
    id66pj/patentsberta-final-green 3 months ago