Instructions to use alexvmt/CBNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use alexvmt/CBNet with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://alexvmt/CBNet") - Notebooks
- Google Colab
- Kaggle
Upload model from congo-basin-v6
Browse files- .gitattributes +1 -0
- class_list.yaml +12 -0
- model.keras +3 -0
.gitattributes
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class_list.yaml
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'1': atherurus_africanus
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'8': mandrillus_sphinx
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'9': pan_troglodytes
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model.keras
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version https://git-lfs.github.com/spec/v1
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oid sha256:d83fc764d8ebdf1a229dc2d83c94c779de0dbabcd79a631adb82705e7ee543d6
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size 214929753
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