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ProCreations
/
auto-0.4b-2

Text Classification
Transformers
Safetensors
modernbert
agent-safety
tool-calling
long-context
distillation
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use ProCreations/auto-0.4b-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ProCreations/auto-0.4b-2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ProCreations/auto-0.4b-2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ProCreations/auto-0.4b-2")
    model = AutoModelForSequenceClassification.from_pretrained("ProCreations/auto-0.4b-2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
auto-0.4b-2 / training
152 kB
Ctrl+K
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  • 1 contributor
History: 4 commits
ProCreations's picture
ProCreations
auto-0.4b-2 iteration 1: shorter card and iteration-1 naming (weights unchanged)
5937dd0 verified 5 days ago
  • iteration-1
    auto-0.4b-2 iteration 1: shorter card and iteration-1 naming (weights unchanged) 5 days ago
  • download.py
    1.55 kB
    Publish evaluated auto-0.4b-2 checkpoint and reproducibility artifacts 7 days ago
  • engine.py
    18.6 kB
    Publish evaluated auto-0.4b-2 checkpoint and reproducibility artifacts 7 days ago
  • prepare.py
    6.42 kB
    Publish evaluated auto-0.4b-2 checkpoint and reproducibility artifacts 7 days ago
  • publish.py
    18.8 kB
    Align paired accuracy statistics with the documented deny-on-tie threshold 7 days ago
  • run.py
    6.44 kB
    Publish evaluated auto-0.4b-2 checkpoint and reproducibility artifacts 7 days ago
  • sft_check.py
    3.83 kB
    Publish evaluated auto-0.4b-2 checkpoint and reproducibility artifacts 7 days ago