Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use harriskr14/emotion-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harriskr14/emotion-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="harriskr14/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("harriskr14/emotion-classification") model = AutoModelForImageClassification.from_pretrained("harriskr14/emotion-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Jun18_08-31-52_d5c4d580da0f
- Jun18_09-14-43_d5c4d580da0f
- Jun18_09-23-27_d5c4d580da0f
- Jun18_09-29-06_d5c4d580da0f
- Jun18_09-30-18_d5c4d580da0f
- Jun18_09-36-48_d5c4d580da0f
- Jun18_09-48-35_d5c4d580da0f
- Jun18_09-56-09_d5c4d580da0f
- Jun18_10-13-30_d5c4d580da0f
- Jun18_11-09-11_26010c25c95d
- Jun18_11-33-34_26010c25c95d
- Jun18_16-18-20_d178b2f6ba07
- Jun18_16-29-02_d178b2f6ba07