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:
- 4f43d85945403ac553514ce4da47910d49bf3c03a7c2201102d031c908090d96
- Size of remote file:
- 4.09 kB
- SHA256:
- 97af3f74b9174e1d0940dc4f5dab739f03cbe16660a7a13e051125ec5db81057
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