Text Classification
Transformers
Safetensors
English
qwen3_5
image-text-to-text
system-one
typed-decisions
joint-schema-head
complaint-routing
lora
apple-silicon
mps
Instructions to use kgptalkie/mini-clef with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kgptalkie/mini-clef with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kgptalkie/mini-clef")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("kgptalkie/mini-clef") model = AutoModelForMultimodalLM.from_pretrained("kgptalkie/mini-clef", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
3 days ago
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Card: link the lesson dataset kgptalkie/cfpb-complaint-routing
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Card: numbers from the recorded lesson run (73.1 %, 15 min 36 s)
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mini-clef: 100 steps x 8 complaints
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Rename to mini-clef
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Model card: say it is a small teaching run
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Model, joint schema head and code
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Draft model card (results pending)
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initial commit
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