Instructions to use Dewa/Dog_Model_From_Scratch_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dewa/Dog_Model_From_Scratch_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Dewa/Dog_Model_From_Scratch_v2") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import ClassificationModelForDogEmotion model = ClassificationModelForDogEmotion.from_pretrained("Dewa/Dog_Model_From_Scratch_v2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b80b0ca6db6c723643fe1340deaab515813d51d8e19c812c127eaa261e80e50
- Size of remote file:
- 178 MB
- SHA256:
- b264c64220213782bb7da7e4d95625379e6622034d375c2775b2b4d1767bda14
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