Instructions to use Bubunur/animals-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bubunur/animals-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Bubunur/animals-classifier") 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("Bubunur/animals-classifier") model = AutoModelForImageClassification.from_pretrained("Bubunur/animals-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Bubunur/animals-classifier: direct link, hf CLI and curl.
- Browser
- Download file 5.27 kB
-
https://huggingface.co/Bubunur/animals-classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://Bubunur/animals-classifier/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/Bubunur/animals-classifier/resolve/main/training_args.bin
5.27 kB
- Xet hash:
- 3949d08c6271afdf817ccf854def7fbf3a5e84526c58b255a6cbe9ed90c09415
- Size of remote file:
- 5.27 kB
- SHA256:
- be3b5d1575bdc80e12cdabdc09dc8c82fd12932d06577a6c4dd7b3fcde1fee35
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