How to use abhilash88/face-emotion-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="abhilash88/face-emotion-detection") 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("abhilash88/face-emotion-detection") model = AutoModelForImageClassification.from_pretrained("abhilash88/face-emotion-detection", device_map="auto")
https://huggingface.co/abhilash88/face-emotion-detection/resolve/b947d8e7fd5b787f3d58ce9328ed473bda3a484c/examples/example_5_fear.jpg
hf download hf://abhilash88/face-emotion-detection@b947d8e7fd5b787f3d58ce9328ed473bda3a484c/examples/example_5_fear.jpg
curl -L -o example_5_fear.jpg https://huggingface.co/abhilash88/face-emotion-detection/resolve/b947d8e7fd5b787f3d58ce9328ed473bda3a484c/examples/example_5_fear.jpg
