Image Classification
Transformers
PyTorch
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use dennisjooo/emotion_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dennisjooo/emotion_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="dennisjooo/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("dennisjooo/emotion_classification") model = AutoModelForImageClassification.from_pretrained("dennisjooo/emotion_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 332eee3b22a69f92df4cc0f9c4feab0ff4443bf247d279e8067c92e2b6dca539
- Size of remote file:
- 343 MB
- SHA256:
- 04fef9b888c676e8280db9c55b3e28dec2812d33da1bac09d854306e3c7bd582
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