Instructions to use Pavarissy/ConvNextV2-large-DogBreed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pavarissy/ConvNextV2-large-DogBreed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Pavarissy/ConvNextV2-large-DogBreed") 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("Pavarissy/ConvNextV2-large-DogBreed") model = AutoModelForImageClassification.from_pretrained("Pavarissy/ConvNextV2-large-DogBreed", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3007a88178d4ec25d4f8dc01b3604e8ddf0c19e807901bee9e6a7d718889637a
- Size of remote file:
- 4.6 kB
- SHA256:
- d0d32597ec6b78e95355f770442164027d6b1787b73c711e41a9a97694af96d0
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