Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use ruben09/emotion_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ruben09/emotion_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ruben09/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("ruben09/emotion_classification") model = AutoModelForImageClassification.from_pretrained("ruben09/emotion_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- model.safetensors +1 -1
- runs/Sep07_12-18-38_84ab739b208e/events.out.tfevents.1725711529.84ab739b208e.4343.8 +2 -2
- runs/Sep07_12-18-38_84ab739b208e/events.out.tfevents.1725711695.84ab739b208e.4343.9 +3 -0
- runs/Sep07_12-23-14_84ab739b208e/events.out.tfevents.1725711802.84ab739b208e.4343.10 +3 -0
- training_args.bin +1 -1
model.safetensors
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