Instructions to use kjiwon1222/cat_dog_classification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kjiwon1222/cat_dog_classification_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="kjiwon1222/cat_dog_classification_model") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("kjiwon1222/cat_dog_classification_model") model = AutoModelForImageClassification.from_pretrained("kjiwon1222/cat_dog_classification_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from kjiwon1222/cat_dog_classification_model: direct link, hf CLI and curl.
- Browser
- Download file 343 MB
-
https://huggingface.co/kjiwon1222/cat_dog_classification_model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://kjiwon1222/cat_dog_classification_model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kjiwon1222/cat_dog_classification_model/resolve/main/pytorch_model.bin
343 MB
- Xet hash:
- c77d1f3d30540ec45691585f9164ccb9f20c1ecac7ac578e47bbeb1ff4d64cf6
- Size of remote file:
- 343 MB
- SHA256:
- 64e5b260f704acc13cb5d0ccb6b2e02395c441076cede9b4882d00eb36d7a4ff
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