Instructions to use agustin228/image_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use agustin228/image_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="agustin228/image_classification") 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("agustin228/image_classification") model = AutoModelForImageClassification.from_pretrained("agustin228/image_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e18c3f411cc5822f3d0282d9f9413d6b9084cf695b03bcd6e367511bd559f6c0
- Size of remote file:
- 344 MB
- SHA256:
- 87d91dff093d45cf5233ac6d695c99303402fcb306907e4ae5204556066bd87b
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