Image-Text-to-Text
PEFT
Safetensors
English
llama-factory
lora
Generated from Trainer
Qwen
Vl-model
fine-tuning
vision-model
multi-modal
conversational
Instructions to use Alawy21/Invoice_Extraction_Qwen2_2B_Finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Alawy21/Invoice_Extraction_Qwen2_2B_Finetuning with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-VL-2B-Instruct") model = PeftModel.from_pretrained(base_model, "Alawy21/Invoice_Extraction_Qwen2_2B_Finetuning") - Notebooks
- Google Colab
- Kaggle
Download training_eval_loss.png from Alawy21/Invoice_Extraction_Qwen2_2B_Finetuning: direct link, hf CLI and curl.
- Browser
- Download file 38.1 kB
-
https://huggingface.co/Alawy21/Invoice_Extraction_Qwen2_2B_Finetuning/resolve/0d98e55c0a00a55a8f451b3b5e057f14af7dab99/training_eval_loss.png
- Command line
-
hf download hf://Alawy21/Invoice_Extraction_Qwen2_2B_Finetuning@0d98e55c0a00a55a8f451b3b5e057f14af7dab99/training_eval_loss.png
-
curl -L -o training_eval_loss.png https://huggingface.co/Alawy21/Invoice_Extraction_Qwen2_2B_Finetuning/resolve/0d98e55c0a00a55a8f451b3b5e057f14af7dab99/training_eval_loss.png
38.1 kB
