Instructions to use Dewa/dog_emotion_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dewa/dog_emotion_v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Dewa/dog_emotion_v3") 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("Dewa/dog_emotion_v3") model = AutoModelForImageClassification.from_pretrained("Dewa/dog_emotion_v3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64c67aafdd0b0c36e3c8e001a2f6758254511f3267e294dd3dbed4570acec490
- Size of remote file:
- 343 MB
- SHA256:
- 18695c96910e2de98be34f14944affb72545e9f85194ec40a1c2814cabaa7706
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