Image Classification
Transformers
Safetensors
English
qwen2_vl
image-text-to-text
grpo
rl
dermatology
medical-imaging
ham10000
bbox
vision-language
trl
text-generation-inference
Instructions to use abaryan/DrDiag_qwen2vl_Ham10000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abaryan/DrDiag_qwen2vl_Ham10000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="abaryan/DrDiag_qwen2vl_Ham10000") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("abaryan/DrDiag_qwen2vl_Ham10000") model = AutoModelForMultimodalLM.from_pretrained("abaryan/DrDiag_qwen2vl_Ham10000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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