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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Download README.md from Eeshan082004/quotedesk-student: direct link, hf CLI and curl.
- Browser
- Download file 548 Bytes
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https://huggingface.co/Eeshan082004/quotedesk-student/resolve/main/README.md
- Command line
-
hf download hf://Eeshan082004/quotedesk-student/README.md
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curl -L -o README.md https://huggingface.co/Eeshan082004/quotedesk-student/resolve/main/README.md
548 Bytes
metadata
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).