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) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("sammlapp/BirdNET_v2.4") - Notebooks
- Google Colab
- Kaggle
| 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. |