Instructions to use ulichovick/birdnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ulichovick/birdnet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ulichovick/birdnet") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ulichovick/birdnet", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
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config.json
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{"num_channels": 3, "hidden_units": 256, "num_classes": 525
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{"num_channels": 3, "hidden_units": 256, "num_classes": 525}
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