Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use hmrizal/emotion_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hmrizal/emotion_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="hmrizal/emotion_classification") 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("hmrizal/emotion_classification") model = AutoModelForImageClassification.from_pretrained("hmrizal/emotion_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 14ffaf3efeb5031bb6b6fb1ff5d3cc57432a5efae7630c22fd316722fa6a2950
- Size of remote file:
- 5.18 kB
- SHA256:
- 389d07e5c449033b1d98454bf6d5e2f9bd35f2d87f8e2ffda592f9551f1e9a81
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