Text Classification
Transformers
Safetensors
modernbert
agent-safety
tool-calling
long-context
distillation
Eval Results (legacy)
text-embeddings-inference
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")# pip install -U transformers accelerate # 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
Commit History
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auto-0.4b-2 v3: distillation from Auto 3B, cross-paired KD data, weight averaging
Verified signatureApprove-or-Deny at threshold 0.5: 96.77% -> 97.00%; false approvals 44 -> 36; false denials 53 -> 54. All predeclared gates passed. Previous release: 456e153dad2b12db14babb1dbdc8f8ece607e80a.1c297a0
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Publish evaluated auto-0.4b-2 checkpoint and reproducibility artifacts
Verified signatured158bbb