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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Download README.md from sammlapp/BirdNET_v2.4: direct link, hf CLI and curl.
- Browser
- Download file 822 Bytes
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https://huggingface.co/sammlapp/BirdNET_v2.4/resolve/main/README.md
- Command line
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hf download hf://sammlapp/BirdNET_v2.4/README.md
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curl -L -o README.md https://huggingface.co/sammlapp/BirdNET_v2.4/resolve/main/README.md
822 Bytes
| license: cc-by-nc-sa-4.0 | |
| 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 | |
| [BirdNET](https://github.com/kahst/BirdNET-Analyzer) is shared under the CC A-NC-SA 4.0. | |
| Suggested Citation: | |
| @article{kahl2021birdnet, | |
| title={BirdNET: A deep learning solution for avian diversity monitoring}, | |
| author={Kahl, Stefan and Wood, Connor M and Eibl, Maximilian and Klinck, Holger}, | |
| journal={Ecological Informatics}, | |
| volume={61}, | |
| pages={101236}, | |
| year={2021}, | |
| publisher={Elsevier} | |
| } | |
| I added these files to this HuggingFace repository to provide stable and versioned downloads for reproducible analyses. |