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
Upload 8 files
Browse filesCopying files from https://github.com/birdnet-team/BirdNET-Analyzer/blob/v1.3.1/checkpoints/V2.4/
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- V2.4/BirdNET_GLOBAL_6K_V2.4_Labels.txt +0 -0
- V2.4/BirdNET_GLOBAL_6K_V2.4_MData_Model_FP16.tflite +3 -0
- V2.4/BirdNET_GLOBAL_6K_V2.4_Model/saved_model.pb +3 -0
- V2.4/BirdNET_GLOBAL_6K_V2.4_Model/variables/variables.data-00000-of-00001 +3 -0
- V2.4/BirdNET_GLOBAL_6K_V2.4_Model/variables/variables.index +0 -0
- V2.4/BirdNET_GLOBAL_6K_V2.4_Model_FP16.tflite +3 -0
- V2.4/BirdNET_GLOBAL_6K_V2.4_Model_FP32.tflite +3 -0
- V2.4/BirdNET_GLOBAL_6K_V2.4_Model_INT8.tflite +3 -0
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