Instructions to use Hemg/Birds-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hemg/Birds-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Hemg/Birds-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("Hemg/Birds-Classification") model = AutoModelForImageClassification.from_pretrained("Hemg/Birds-Classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c508f8812754b5d96bab6bd00bedd46b109a6d43f71dd63a75e15df13512b5d
- Size of remote file:
- 4.92 kB
- SHA256:
- 75ddce41ee218d8d30261b04b426c8ae7ef608b52d37af183c72d7532435101a
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