Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use malifiahm/emotion_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use malifiahm/emotion_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="malifiahm/emotion_classification") 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("malifiahm/emotion_classification") model = AutoModelForImageClassification.from_pretrained("malifiahm/emotion_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Feb08_15-31-49_01cb0bd0ce36
- Feb08_15-34-02_01cb0bd0ce36
- Feb08_15-36-48_01cb0bd0ce36
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- Feb08_15-43-29_01cb0bd0ce36
- Feb08_15-52-07_01cb0bd0ce36
- Feb08_16-02-54_01cb0bd0ce36
- Feb08_16-18-51_abb6c9310e78
- Feb08_18-03-39_abb6c9310e78
- Feb08_18-24-44_abb6c9310e78
- Feb09_08-11-51_01ceb81689f5