Image-to-Text
PEFT
Safetensors
Oriya
odia
ocr
vision-language
qwen2-vl
lora
optical-character-recognition
Instructions to use OdiaGenAIOCR/odia-ocr-qwen-finetuned_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use OdiaGenAIOCR/odia-ocr-qwen-finetuned_v2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-VL-3B-Instruct") model = PeftModel.from_pretrained(base_model, "OdiaGenAIOCR/odia-ocr-qwen-finetuned_v2") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from OdiaGenAIOCR/odia-ocr-qwen-finetuned_v2: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/OdiaGenAIOCR/odia-ocr-qwen-finetuned_v2/resolve/main/training_args.bin
- Command line
-
hf download hf://OdiaGenAIOCR/odia-ocr-qwen-finetuned_v2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/OdiaGenAIOCR/odia-ocr-qwen-finetuned_v2/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- ab18eb5346bc55edf3d26255450edb9a8c3fdb11e038450b09e7e568fea0abd7
- Size of remote file:
- 4.86 kB
- SHA256:
- de45ce1530ef5dd6b60e376397509faefbc8c5e5d445923323fa47100671263e
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