Image Classification
Transformers
PyTorch
TensorBoard
resnet
Generated from Trainer
Eval Results (legacy)
Instructions to use jayanta/microsoft-resnet-50-cartoon-emotion-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jayanta/microsoft-resnet-50-cartoon-emotion-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="jayanta/microsoft-resnet-50-cartoon-emotion-detection") 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("jayanta/microsoft-resnet-50-cartoon-emotion-detection") model = AutoModelForImageClassification.from_pretrained("jayanta/microsoft-resnet-50-cartoon-emotion-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b4b7050e4a15a31a4890e7564f5e9deb90fba74edd6002d68673af8a0fd0361
- Size of remote file:
- 3.45 kB
- SHA256:
- fbfb95ec038580b59de14f2175ad8e5be8a5be9f473b52705f82f1ae2156148a
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