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: 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. |