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_Model_FP32.tflite from sammlapp/BirdNET_v2.4: direct link, hf CLI and curl.
- Browser
- Download file 51.7 MB
-
https://huggingface.co/sammlapp/BirdNET_v2.4/resolve/main/V2.4/BirdNET_GLOBAL_6K_V2.4_Model_FP32.tflite
- Command line
-
hf download hf://sammlapp/BirdNET_v2.4/V2.4/BirdNET_GLOBAL_6K_V2.4_Model_FP32.tflite
-
curl -L -o BirdNET_GLOBAL_6K_V2.4_Model_FP32.tflite https://huggingface.co/sammlapp/BirdNET_v2.4/resolve/main/V2.4/BirdNET_GLOBAL_6K_V2.4_Model_FP32.tflite
51.7 MB
- Xet hash:
- 75751bd0f2c81c92f4072ea47df31e0ccd2401f5277f06257ebed3f905e26d33
- Size of remote file:
- 51.7 MB
- SHA256:
- 55f3e4055b1a13bfa9a2452731d0d34f6a02d6b775a334362665892794165e4c
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