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
Download README.md from sammlapp/BirdNET_v2.4: direct link, hf CLI and curl.
- Browser
- Download file 822 Bytes
-
https://huggingface.co/sammlapp/BirdNET_v2.4/resolve/main/README.md
- Command line
-
hf download hf://sammlapp/BirdNET_v2.4/README.md
-
curl -L -o README.md https://huggingface.co/sammlapp/BirdNET_v2.4/resolve/main/README.md
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 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.