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
Request: DOI
#1
pinned
by RyuNumchon - opened
Requesting for DOI
@RyuNumchon To cite this model, you can find a cite this model button which provide you this following BibTeX :
@misc {pavaris_ruangchutiphophan_2023,
author = { {Pavaris Ruangchutiphophan} },
title = { ConvNextV2-large-DogBreed (Revision 3ddd523) },
year = 2023,
url = { https://huggingface.co/Pavarissy/ConvNextV2-large-DogBreed },
doi = { 10.57967/hf/1288 },
publisher = { Hugging Face }
}
Pavarissy pinned discussion
Pavarissy changed discussion status to closed
Done thank you, sir.
thanks for citing my model !