Image-Text-to-Text
PEFT
Safetensors
Ukrainian
lora
ocr
handwriting
handwritten-text-recognition
ukrainian
gemma3
vision-language
conversational
Instructions to use VmF0x/lapa-ocr-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VmF0x/lapa-ocr-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("lapa-llm/lapa-v0.1.2-instruct") model = PeftModel.from_pretrained(base_model, "VmF0x/lapa-ocr-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 55f470f09ce5df98921927d20e3b4aff40f31ff1644da993d746eca63c297ef3
- Size of remote file:
- 37.4 MB
- SHA256:
- 96c223ece326885174a741fcb28446f49757a4f491b1187cdeb312c13b98b1ba
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