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") - Notebooks
- Google Colab
- Kaggle
Works for my dog
Great model
Great model
thanks for your feedback ! note that it supported up to 113 dog breeds. You can try it with other dogs as well : )
hello again,
I just wanted to share the small application I made using this in spaces if anyone wants a good starting place or to just play around with it a little more. You can use your camera as well instead of just loading pictures. It may work on mobile but no promises.
https://huggingface.co/spaces/macadeliccc/large-dog-breed-classifier
hello again,
I just wanted to share the small application I made using this in spaces if anyone wants a good starting place or to just play around with it a little more. You can use your camera as well instead of just loading pictures. It may work on mobile but no promises.
https://huggingface.co/spaces/macadeliccc/large-dog-breed-classifier
Thanks for using my model as your engine. I've tried your spaces with some of dog images, that's very impressive! already gave a liked on your spaces <3