Duplicated from autoevaluate/image-multi-class-classification
How to use autoevaluate/image-multi-class-classification-not-evaluated with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="autoevaluate/image-multi-class-classification-not-evaluated") 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("autoevaluate/image-multi-class-classification-not-evaluated") model = AutoModelForImageClassification.from_pretrained("autoevaluate/image-multi-class-classification-not-evaluated", device_map="auto")
https://huggingface.co/autoevaluate/image-multi-class-classification-not-evaluated/resolve/main/.gitignore
hf download hf://autoevaluate/image-multi-class-classification-not-evaluated/.gitignore
curl -L -o .gitignore https://huggingface.co/autoevaluate/image-multi-class-classification-not-evaluated/resolve/main/.gitignore
