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:
- fe9a3bd6027fbaa0cb386b5019c2d1ff552bd55c5091ac3448250c027759aef8
- Size of remote file:
- 345 MB
- SHA256:
- 554b261b876b99893ee91f05d59174c17e721a0819968bb4da5cc14f4a3ffba9
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