NAMAA-Space/QariOCR-v0.3-markdown-mixed-dataset
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How to use mo1998/arabic-ocr-qwen2.5-vl with Transformers:
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mo1998/arabic-ocr-qwen2.5-vl", dtype="auto")How to use mo1998/arabic-ocr-qwen2.5-vl with Unsloth Studio:
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for mo1998/arabic-ocr-qwen2.5-vl to start chatting
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for mo1998/arabic-ocr-qwen2.5-vl to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for mo1998/arabic-ocr-qwen2.5-vl to start chatting
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="mo1998/arabic-ocr-qwen2.5-vl",
max_seq_length=2048,
)This model is a fine-tuned version of unsloth/Qwen2.5-VL-7B-Instruct-GGUF designed for OCR (Optical Character Recognition) on Arabic and English text.
It is trained using the QariOCR v0.3 mixed dataset and optimized for transcribing scanned documents, handwritten text, and mixed Arabic-English inputs.
Base model
Qwen/Qwen2.5-VL-7B-Instruct