Image Classification
Transformers
PyTorch
English
emotion-detection
facial-expressio
deep-learning
cnn
Instructions to use ravi86/mood_detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ravi86/mood_detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ravi86/mood_detector") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ravi86/mood_detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 302 Bytes
cd6abdf | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"do_resize": true,
"size": {
"shortest_edge": 256
},
"do_center_crop": true,
"crop_size": {
"height": 224,
"width": 224
},
"do_normalize": true,
"image_mean": [0.5, 0.5, 0.5],
"image_std": [0.5, 0.5, 0.5],
"resample": 2,
"feature_extractor_type": "ImageProcessor"
}
|