Instructions to use ypenterprise/Dog-Breed-Identification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ypenterprise/Dog-Breed-Identification 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://ypenterprise/Dog-Breed-Identification") - Notebooks
- Google Colab
- Kaggle
Download App/__pycache__/DBI_Model.cpython-312.pyc from ypenterprise/Dog-Breed-Identification: direct link, hf CLI and curl.
- Browser
- Download file 229 Bytes
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https://huggingface.co/ypenterprise/Dog-Breed-Identification/resolve/main/App/__pycache__/DBI_Model.cpython-312.pyc
- Command line
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hf download hf://ypenterprise/Dog-Breed-Identification/App/__pycache__/DBI_Model.cpython-312.pyc
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curl -L -o DBI_Model.cpython-312.pyc https://huggingface.co/ypenterprise/Dog-Breed-Identification/resolve/main/App/__pycache__/DBI_Model.cpython-312.pyc
229 Bytes
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