Image Classification
Transformers
Safetensors
English
siglip
Cat
Dog
Classification
SigLIP2
Vision-encoder
Instructions to use prithivMLmods/PussyCat-vs-Doggie-SigLIP2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/PussyCat-vs-Doggie-SigLIP2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/PussyCat-vs-Doggie-SigLIP2") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/PussyCat-vs-Doggie-SigLIP2") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/PussyCat-vs-Doggie-SigLIP2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-1564/training_args.bin from prithivMLmods/PussyCat-vs-Doggie-SigLIP2: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/prithivMLmods/PussyCat-vs-Doggie-SigLIP2/resolve/main/checkpoint-1564/training_args.bin
- Command line
-
hf download hf://prithivMLmods/PussyCat-vs-Doggie-SigLIP2/checkpoint-1564/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/prithivMLmods/PussyCat-vs-Doggie-SigLIP2/resolve/main/checkpoint-1564/training_args.bin
5.3 kB
- Xet hash:
- 00f6a13d84a28989d2f04889da364fb25c84af4d3889186202248b0f521f9ae9
- Size of remote file:
- 5.3 kB
- SHA256:
- 031608eef21b8e8c0696c488c3665b7b1b2daf0aaa8c0056d17d616ca7842061
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.