Instructions to use Eeshan082004/quotedesk-student with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Eeshan082004/quotedesk-student with PEFT:
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") - Notebooks
- Google Colab
- Kaggle
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base_model: google/gemma-3-270m-it
library_name: peft
license: gemma
tags: [quotedesk, lora, extraction, synthetic-data]
---
# 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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