Image-Text-to-Text
PEFT
Safetensors
English
lora
qwen3.5
vision-language
document-understanding
document-parsing
structured-extraction
json
insurance
legal-documents
ms-swift
vllm
Instructions to use Ashish-Ranjan/Qwen3.5-9B-Policy-Structure-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ashish-Ranjan/Qwen3.5-9B-Policy-Structure-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-9B") model = PeftModel.from_pretrained(base_model, "Ashish-Ranjan/Qwen3.5-9B-Policy-Structure-LoRA") - Notebooks
- Google Colab
- Kaggle
Download assets/example_geico_p5.webp from Ashish-Ranjan/Qwen3.5-9B-Policy-Structure-LoRA: direct link, hf CLI and curl.
- Browser
- Download file 158 kB
-
https://huggingface.co/Ashish-Ranjan/Qwen3.5-9B-Policy-Structure-LoRA/resolve/main/assets/example_geico_p5.webp
- Command line
-
hf download hf://Ashish-Ranjan/Qwen3.5-9B-Policy-Structure-LoRA/assets/example_geico_p5.webp
-
curl -L -o example_geico_p5.webp https://huggingface.co/Ashish-Ranjan/Qwen3.5-9B-Policy-Structure-LoRA/resolve/main/assets/example_geico_p5.webp
158 kB

- Xet hash:
- ad684b9eb5b75cc93c8e95e69bb757a58101c55cb2033e7d2cef44774965a311
- Size of remote file:
- 158 kB
- SHA256:
- 18a18085649f1d6173cd5f74fcfe7f1db8a6e81662badc534a6e55d5bf79bfa1
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