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 training_args.bin from kjiwon1222/cat_dog_classification_model: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/kjiwon1222/cat_dog_classification_model/resolve/main/training_args.bin
- Command line
-
hf download hf://kjiwon1222/cat_dog_classification_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kjiwon1222/cat_dog_classification_model/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- ae6ec0687ec39b27da0ac5983b94ad8c561b016b477234ff360f9adcc1b1091e
- Size of remote file:
- 4.03 kB
- SHA256:
- d5475415f7b439792b99c10e89df6c9e65b5f16930398d47186ad7ceed41cc96
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