How to use softdev629/gm2jdlzu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="softdev629/gm2jdlzu") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("softdev629/gm2jdlzu") model = AutoModelForImageClassification.from_pretrained("softdev629/gm2jdlzu", device_map="auto")
https://huggingface.co/softdev629/gm2jdlzu/resolve/main/.DS_Store
hf download hf://softdev629/gm2jdlzu/.DS_Store
curl -L -o .DS_Store https://huggingface.co/softdev629/gm2jdlzu/resolve/main/.DS_Store
