Instructions to use pabloOmega/egg_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pabloOmega/egg_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="pabloOmega/egg_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("pabloOmega/egg_classifier") model = AutoModelForImageClassification.from_pretrained("pabloOmega/egg_classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56dceb11256ea7806af4b1659fb43459bb4926affe86679060128d8997bb3a98
- Size of remote file:
- 16.3 MB
- SHA256:
- 99820b02eedd6e490c575d54f2a29534f0b9cbacd578e76cb5180418ad22d110
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