Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use AlCyede/emotion-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlCyede/emotion-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="AlCyede/emotion-classifier") 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("AlCyede/emotion-classifier") model = AutoModelForImageClassification.from_pretrained("AlCyede/emotion-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43b4b46a3fcfe4220e6544576a697d6803ac57d3d821ac5635f6f76e37b9dfd1
- Size of remote file:
- 5.18 kB
- SHA256:
- 32d221e575014556dbc752ab27ed58edf2959d982085be472d63bb11babd399c
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