Image-Text-to-Text
PEFT
Safetensors
English
qwen2_5_vl
medical
evaluation
multimodal
regression
lora
vlm
medlayxplain
conversational
Instructions to use anonymous-medical/MedLayEval with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use anonymous-medical/MedLayEval with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-VL-3B-Instruct") model = PeftModel.from_pretrained(base_model, "anonymous-medical/MedLayEval") - Notebooks
- Google Colab
- Kaggle
Download __pycache__/model.cpython-313.pyc from anonymous-medical/MedLayEval: direct link, hf CLI and curl.
- Browser
- Download file 2.59 kB
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https://huggingface.co/anonymous-medical/MedLayEval/resolve/main/__pycache__/model.cpython-313.pyc
- Command line
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hf download hf://anonymous-medical/MedLayEval/__pycache__/model.cpython-313.pyc
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curl -L -o model.cpython-313.pyc https://huggingface.co/anonymous-medical/MedLayEval/resolve/main/__pycache__/model.cpython-313.pyc
2.59 kB
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