Instructions to use Dewa/dog_emotion_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dewa/dog_emotion_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Dewa/dog_emotion_v2") 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_v2") model = AutoModelForImageClassification.from_pretrained("Dewa/dog_emotion_v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f7a01780a2f6d019399b1e20369e9627acafbb43727133f3603f69b39cae6038
- Size of remote file:
- 343 MB
- SHA256:
- 0fd4551c6bb02436d7bb3667cba668316934cf4c50878a9570fed770960346d4
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