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 github commands from ypenterprise/Dog-Breed-Identification: direct link, hf CLI and curl.
- Browser
- Download file 236 Bytes
-
https://huggingface.co/ypenterprise/Dog-Breed-Identification/resolve/main/github%20commands
- Command line
-
hf download 'hf://ypenterprise/Dog-Breed-Identification/github commands'
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curl -L -o 'github commands' https://huggingface.co/ypenterprise/Dog-Breed-Identification/resolve/main/github%20commands
236 Bytes
| echo "# dog-breed-identification-app" >> README.md | |
| git init | |
| git add README.md | |
| git commit -m "first commit" | |
| git branch -M main | |
| git remote add origin git@github.com:piyush24sharma24/dog-breed-identification-app.git | |
| git push -u origin main |