How to use nadahh/APTOS2019DetectionViaLLMM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="nadahh/APTOS2019DetectionViaLLMM") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("nadahh/APTOS2019DetectionViaLLMM") model = AutoModelForImageClassification.from_pretrained("nadahh/APTOS2019DetectionViaLLMM", device_map="auto")
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import streamlit as st from transformers import pipeline enable = st.checkbox("Enable camera") picture = st.camera_input("Take a picture", disabled=not enable) if picture: out = pipeline(picture) st.json(out)
