Image Classification
Transformers
Safetensors
PyTorch
vit
vision
facial-expression-recognition
emotion-detection
Instructions to use abhilash88/face-emotion-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
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") - Inference
- Notebooks
- Google Colab
- Kaggle
Ctrl+K