QuoteDesk student v1
LoRA adapter for Gemma 3 270M that extracts structured quote requests from messy customer emails
(fictional company, synthetic data). Trained with Unsloth; eval results in eval.json.
Gemma is provided under and subject to the Gemma Terms of Use found at ai.google.dev/gemma/terms. Use of this adapter is subject to the Gemma Prohibited Use Policy (ai.google.dev/gemma/prohibited_use_policy).
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from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-3-270m-it") model = PeftModel.from_pretrained(base_model, "Eeshan082004/quotedesk-student")