Instructions to use TaiHoag/ball_models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use TaiHoag/ball_models 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://TaiHoag/ball_models") - Notebooks
- Google Colab
- Kaggle
Download convnet_ball_classification_model.tflite from TaiHoag/ball_models: direct link, hf CLI and curl.
- Browser
- Download file 52.4 MB
-
https://huggingface.co/TaiHoag/ball_models/resolve/main/convnet_ball_classification_model.tflite
- Command line
-
hf download hf://TaiHoag/ball_models/convnet_ball_classification_model.tflite
-
curl -L -o convnet_ball_classification_model.tflite https://huggingface.co/TaiHoag/ball_models/resolve/main/convnet_ball_classification_model.tflite
52.4 MB
- Xet hash:
- a581b31b9625953660de622ad5efe2d7e6ddfcd0b24ea9e42844f069fb765126
- Size of remote file:
- 52.4 MB
- SHA256:
- 07ca3942b729c2f76b1c2b6a1f51c1cc791e2b26f0d241c04001e15525058273
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