Instructions to use Akshay0706/Flower-Image-Classification-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Akshay0706/Flower-Image-Classification-Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Akshay0706/Flower-Image-Classification-Model") 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("Akshay0706/Flower-Image-Classification-Model") model = AutoModelForImageClassification.from_pretrained("Akshay0706/Flower-Image-Classification-Model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1aecff3d6afe85ed1f6499a91002c559f10c3a2555ce8d74e1d17ef9d9e2fb1
- Size of remote file:
- 343 MB
- SHA256:
- 8431762aaa542a675a158d1c1ed591b8560a5a7f43986b0c2691a1b88ac907f5
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