Image-Text-to-Text
PEFT
Safetensors
medical
vision-language
surgical-ai
pituitary-surgery
qwen2-vl
lora
spatial-localization
conversational
Instructions to use mmrech/pitvqa-qwen2vl-spatial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mmrech/pitvqa-qwen2vl-spatial with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-VL-2B-Instruct") model = PeftModel.from_pretrained(base_model, "mmrech/pitvqa-qwen2vl-spatial") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6695dc2654d7ee072f20a066ea9639513561cfc7e1fbc1deecf6af4fbfcbd1ec
- Size of remote file:
- 6.29 kB
- SHA256:
- 218b9b83efc23f4bb050180753c6542a734c3479631458a78340ce836548723a
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