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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 / eval
7.49 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
ProCreations's picture
ProCreations
auto-0.4b-2 iteration 1: shorter card and iteration-1 naming (weights unchanged)
5937dd0 verified 19 days ago
  • iteration-1
    auto-0.4b-2 iteration 1: shorter card and iteration-1 naming (weights unchanged) 19 days ago
  • fresh_probe_results.json
    1.41 MB
    auto-0.4b-2 v3: distillation from Auto 3B, cross-paired KD data, weight averaging 19 days ago
  • fresh_probes.json
    699 kB
    auto-0.4b-2 v3: distillation from Auto 3B, cross-paired KD data, weight averaging 19 days ago
  • run_tool_probes.py
    4.55 kB
    auto-0.4b-2 v3: distillation from Auto 3B, cross-paired KD data, weight averaging 19 days ago
  • tool_probe_results.json
    32 kB
    auto-0.4b-2 v3: distillation from Auto 3B, cross-paired KD data, weight averaging 19 days ago
  • tool_probes.json
    15.1 kB
    Add 24 measured skill and MCP probes; display ModernBERT-large as the base model 21 days ago