Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use pratapaadii/Emotion_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pratapaadii/Emotion_Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="pratapaadii/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("pratapaadii/Emotion_Classifier") model = AutoModelForImageClassification.from_pretrained("pratapaadii/Emotion_Classifier") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- model.safetensors +1 -1
- runs/Jun04_05-49-32_6b22a4a61602/events.out.tfevents.1717480187.6b22a4a61602.240.6 +2 -2
- runs/Jun04_05-49-32_6b22a4a61602/events.out.tfevents.1717480651.6b22a4a61602.240.7 +3 -0
- runs/Jun04_05-57-47_6b22a4a61602/events.out.tfevents.1717480677.6b22a4a61602.240.8 +3 -0
- training_args.bin +1 -1
model.safetensors
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