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ProCreations
/
auto-0.4b

Text Classification
Transformers
Safetensors
English
modernbert
agent-safety
tool-calling
guardrails
long-context
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use ProCreations/auto-0.4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ProCreations/auto-0.4b with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ProCreations/auto-0.4b")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ProCreations/auto-0.4b")
    model = AutoModelForSequenceClassification.from_pretrained("ProCreations/auto-0.4b", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
auto-0.4b
795 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
ProCreations's picture
ProCreations
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  • .gitattributes
    1.52 kB
    initial commit about 12 hours ago
  • README.md
    10 kB
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  • config.json
    2.24 kB
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  • eval_results.json
    25.5 kB
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  • gate.py
    4.36 kB
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  • model.safetensors
    792 MB
    xet
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  • rope_theta_sweep.json
    714 Bytes
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  • special_tokens_map.json
    694 Bytes
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  • tokenizer.json
    3.58 MB
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  • tokenizer_config.json
    21 kB
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