Instructions to use NAMAA-Space/Qari-OCR-0.4.0-VL-4B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use NAMAA-Space/Qari-OCR-0.4.0-VL-4B-Instruct with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen3-VL-4B-Instruct") model = PeftModel.from_pretrained(base_model, "NAMAA-Space/Qari-OCR-0.4.0-VL-4B-Instruct") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f573a0c3cee2bfe8eb97461961111121df51d140748591e70e67d1f3a86acd33
- Size of remote file:
- 6.29 kB
- SHA256:
- f66a139a25bd9a45ae1f347f95aa2e69eb2b98d2b814e6c998038af22d07930d
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