Instructions to use cs-file-uploads/loc-gemma3-27b-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cs-file-uploads/loc-gemma3-27b-adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-27b-it") model = PeftModel.from_pretrained(base_model, "cs-file-uploads/loc-gemma3-27b-adapter") - Notebooks
- Google Colab
- Kaggle
loc-gemma3-27b-adapter
LoRA adapter for google/gemma-3-27b-it, fine-tuned on 1,058 training records to extract a six-field line-of-credit schema (drawn amount, unused capacity, total, presence indicator) from 10-K excerpts. Checkpoint selected on a held-out development split. Load with PEFT on top of the base model; see the accompanying code repository for inference and scoring.
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