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 tokenizer.json from Alawy21/Invoice_Extraction_Qwen2_2B_Finetuning: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/Alawy21/Invoice_Extraction_Qwen2_2B_Finetuning/resolve/main/tokenizer.json
- Command line
-
hf download hf://Alawy21/Invoice_Extraction_Qwen2_2B_Finetuning/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Alawy21/Invoice_Extraction_Qwen2_2B_Finetuning/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- d8afa1f6f3ea3f16d98fce7895282a83c4eb38b30af190f43649a5188663f721
- Size of remote file:
- 11.4 MB
- SHA256:
- 091aa7594dc2fcfbfa06b9e3c22a5f0562ac14f30375c13af7309407a0e67b8a
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