Instructions to use KevinTao511/pets_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KevinTao511/pets_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="KevinTao511/pets_model") 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("KevinTao511/pets_model") model = AutoModelForImageClassification.from_pretrained("KevinTao511/pets_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48594a2beaac19dfe0d9582a1a4c860097d50bcc192134e016ce5cb31675d4f9
- Size of remote file:
- 343 MB
- SHA256:
- 6cc89650c3e9c0fee41b2146d48b78cba4422a5f7b52cc77bf4435fb34f34fb9
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