Instructions to use ongkn/emikes-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ongkn/emikes-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ongkn/emikes-classifier") 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("ongkn/emikes-classifier") model = AutoModelForImageClassification.from_pretrained("ongkn/emikes-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a23640a141d1af489f19b5e2d0661ebe1ea3480cbbcc6a7dd7bb66e3e6e111b
- Size of remote file:
- 4.16 kB
- SHA256:
- 92d4708beb29c630e3185a7d86a6648d44e3c337aa206a508c9e8aba71ef7852
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