Instructions to use sammlapp/BirdNET_v2.4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use sammlapp/BirdNET_v2.4 with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("sammlapp/BirdNET_v2.4") - Notebooks
- Google Colab
- Kaggle
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license:
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The BirdNET model was developed by the Cornell Lab of Ornithology, and is maintained with the active repository https://github.com/birdnet-team/BirdNET-Analyzer
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I added these files to this HuggingFace repository to provide stable and versioned downloads for reproducible analyses.
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license: cc-by-nc-sa-4.0
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The BirdNET model was developed by the Cornell Lab of Ornithology, and is maintained with the active repository https://github.com/birdnet-team/BirdNET-Analyzer
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[BirdNET](https://github.com/kahst/BirdNET-Analyzer) is shared under the CC A-NC-SA 4.0.
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Suggested Citation:
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@article{kahl2021birdnet,
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title={BirdNET: A deep learning solution for avian diversity monitoring},
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author={Kahl, Stefan and Wood, Connor M and Eibl, Maximilian and Klinck, Holger},
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journal={Ecological Informatics},
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volume={61},
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pages={101236},
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year={2021},
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publisher={Elsevier}
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}
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I added these files to this HuggingFace repository to provide stable and versioned downloads for reproducible analyses.
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