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ProCreations
/
auto-1b

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-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ProCreations/auto-1b with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ProCreations/auto-1b")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ProCreations/auto-1b")
    model = AutoModelForSequenceClassification.from_pretrained("ProCreations/auto-1b", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
auto-1b
4.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
ProCreations's picture
ProCreations
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  • .gitattributes
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  • model-00001-of-00002.safetensors
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    xet
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  • model-00002-of-00002.safetensors
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    xet
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  • model.safetensors.index.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • training_metadata.json
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