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
File size: 304 Bytes
549099c | 1 2 3 4 5 6 7 8 9 10 11 12 13 | '1': atherurus_africanus
'10': philantomba_monticola
'11': potamochoerus_porcus
'12': tragelaphus_spekii
'2': cephalophus_callipygus
'3': cephalophus_dorsalis
'4': cephalophus_silvicultor
'5': cercocebus_torquatus
'6': cricetomys_emini
'7': loxodonta_cyclotis
'8': mandrillus_sphinx
'9': pan_troglodytes
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