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 V2.4/BirdNET_GLOBAL_6K_V2.4_MData_Model_FP16.tflite from sammlapp/BirdNET_v2.4: direct link, hf CLI and curl.
- Browser
- Download file 7.07 MB
-
https://huggingface.co/sammlapp/BirdNET_v2.4/resolve/main/V2.4/BirdNET_GLOBAL_6K_V2.4_MData_Model_FP16.tflite
- Command line
-
hf download hf://sammlapp/BirdNET_v2.4/V2.4/BirdNET_GLOBAL_6K_V2.4_MData_Model_FP16.tflite
-
curl -L -o BirdNET_GLOBAL_6K_V2.4_MData_Model_FP16.tflite https://huggingface.co/sammlapp/BirdNET_v2.4/resolve/main/V2.4/BirdNET_GLOBAL_6K_V2.4_MData_Model_FP16.tflite
7.07 MB
- Xet hash:
- 46645c2f2005d8b6c0d0061f084b1dbd53953fb61f1bd047b9e918b6ffb9148d
- Size of remote file:
- 7.07 MB
- SHA256:
- 4813567791d2fe2f38fb9e195e61a6261141a6f3b134b3056b6b062d22ac88f5
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