Instructions to use MrEngineer/florence-2-vqa-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MrEngineer/florence-2-vqa-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Florence-2-base") model = PeftModel.from_pretrained(base_model, "MrEngineer/florence-2-vqa-lora") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 99f8868099a7bb5d424833f0d3addd4eb35f32b172330f94d475edab4909f103
- Size of remote file:
- 5.86 MB
- SHA256:
- a9bd45c2ec7e4ec04145b2e095a83f276681fce0308cb07fe362569ed65a2133
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