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:
- d5f3fd1642eae295ef2ca45512d484df351465d3b1e49dceb7d240e9276a3de1
- Size of remote file:
- 787 MB
- SHA256:
- 7c4953d97bdb96f681f087ca1de42c90629362bf1fb2486ed95d4b0052218349
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