Image-Text-to-Text
PEFT
Safetensors
Turkish
paligemma
lora
document-question-answering
visual-question-answering
turkish
tr-docvqa
Instructions to use Ethosoft/trdocvqa-paligemma-3b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ethosoft/trdocvqa-paligemma-3b-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/paligemma-3b-pt-224") model = PeftModel.from_pretrained(base_model, "Ethosoft/trdocvqa-paligemma-3b-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f783b931a0a2d5b2a14174712a7f55393c0ca4fb62c8ade07dd9b5f07c3051bb
- Size of remote file:
- 4.26 MB
- SHA256:
- 8986bb4f423f07f8c7f70d0dbe3526fb2316056c17bae71b1ea975e77a168fc6
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