Text Classification
PEFT
Safetensors
English
intent-classification
ecommerce
lora
qlora
function-calling
Instructions to use while-ai/ecommerce-0.5b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use while-ai/ecommerce-0.5b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen2.5-0.5b-instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "while-ai/ecommerce-0.5b") - Notebooks
- Google Colab
- Kaggle
Commit History
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card: recipe and collection links
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Card: One name (While, whileai SDK), current links (#1)
- Card: One name (While, whileai SDK), current links (d3683882d29942d58f3b075202162a0ef527fc47)7d4bbb6
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Rebrand to While AI
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Update README.md
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Update README.md
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Developed by Zero Proof Labs; brand spacing; remove payments tag
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Update results
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Model card: canonical macro-averaged results (run with matched 11,131/1,977 train-eval split), corrected method description and chart
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simplify Get Started snippet (AutoPeftModel one-liner, no explicit base load)
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0.5B model card: Qwen2.5-0.5B QLoRA, class-balanced
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