Text Generation
PEFT
Safetensors
Arabic
arabic
ocr
post-correction
lora
document-intelligence
conversational
Instructions to use Sheeda/arabic-ocr-post-correction-0.5b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Sheeda/arabic-ocr-post-correction-0.5b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "Sheeda/arabic-ocr-post-correction-0.5b") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Sheeda/arabic-ocr-post-correction-0.5b: direct link, hf CLI and curl.
- Browser
- Download file 5.71 kB
-
https://huggingface.co/Sheeda/arabic-ocr-post-correction-0.5b/resolve/main/training_args.bin
- Command line
-
hf download hf://Sheeda/arabic-ocr-post-correction-0.5b/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Sheeda/arabic-ocr-post-correction-0.5b/resolve/main/training_args.bin
5.71 kB
- Xet hash:
- 4d5e4cd646fcaa4c2d98c42d3e18a2b0e5a9ed769277522a368e2e7392f62bb2
- Size of remote file:
- 5.71 kB
- SHA256:
- d1c01813f4a93d3ebd3ef72c37ec5449a7bb9202765914fc2adf8201b4705b0c
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