Image-to-Text
PEFT
Safetensors
Arabic
English
lora
qlora
dora
vision-language
manuscript
arabic
ocr
qwen2.5-vl
Eval Results (legacy)
Instructions to use HassanB4/Ketaba-OCR-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use HassanB4/Ketaba-OCR-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("sherif1313/Arabic-English-handwritten-OCR-v3") model = PeftModel.from_pretrained(base_model, "HassanB4/Ketaba-OCR-LoRA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d3f835122bddb470f53048ff36f1a5116791b8f3a003f9d17b3b03b0b81cc5fe
- Size of remote file:
- 11.4 MB
- SHA256:
- 3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
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