Instructions to use ahyar002/image_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ahyar002/image_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ahyar002/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("ahyar002/image_classification") model = AutoModelForImageClassification.from_pretrained("ahyar002/image_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bcc60cf0199560273e780420fd451fb3aced08d111c0ea9e8e23ba3433810a7f
- Size of remote file:
- 343 MB
- SHA256:
- dfa150ddd2065d805a97a5963f8568d518bc1d3db5eb513ffa4fde7c1a657d9b
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