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ProCreations
/
auto-3b-3

Text Classification
Transformers
Safetensors
smollm3
agent-safety
tool-calling
guardrail
long-context
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use ProCreations/auto-3b-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ProCreations/auto-3b-3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ProCreations/auto-3b-3")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ProCreations/auto-3b-3")
    model = AutoModelForSequenceClassification.from_pretrained("ProCreations/auto-3b-3", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
auto-3b-3
6.17 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
ProCreations's picture
ProCreations
Release auto-3b-3
ffc6e7b verified 5 days ago
  • assets
    Release auto-3b-3 5 days ago
  • eval
    Release auto-3b-3 5 days ago
  • .gitattributes
    1.9 kB
    Release auto-3b-3 5 days ago
  • README.md
    10.4 kB
    Release auto-3b-3 5 days ago
  • config.json
    2.08 kB
    Release auto-3b-3 5 days ago
  • model.safetensors
    6.15 GB
    xet
    Release auto-3b-3 5 days ago
  • tokenizer.json
    17.2 MB
    xet
    Release auto-3b-3 5 days ago
  • tokenizer_config.json
    357 Bytes
    Release auto-3b-3 5 days ago
  • training_config.json
    298 Bytes
    Release auto-3b-3 5 days ago