Instructions to use AishaKanwal/ModelsClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AishaKanwal/ModelsClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="AishaKanwal/ModelsClassification") 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("AishaKanwal/ModelsClassification") model = AutoModelForImageClassification.from_pretrained("AishaKanwal/ModelsClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 748367fb55e59ee702fd2809d167986640d336c071687af7e2e9fa7f62d1adc5
- Size of remote file:
- 230 MB
- SHA256:
- 7731085c24b6f85d075a58aeea2a64187906c5c0c61d56e66e2c7c5a77efd3ee
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