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_2_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_2_ball_classification_model.tflite
- Command line
-
hf download hf://TaiHoag/ball_models/convnet_2_ball_classification_model.tflite
-
curl -L -o convnet_2_ball_classification_model.tflite https://huggingface.co/TaiHoag/ball_models/resolve/main/convnet_2_ball_classification_model.tflite
52.4 MB
- Xet hash:
- 385f2f90a13b01424a565a056df8d9ad7490bcd81b47993ff0670ddb3da3a5fc
- Size of remote file:
- 52.4 MB
- SHA256:
- 09d91f5f488303c9c87f3ae845b8ad3e9a775e1873c6bbb26680a51aefd4a008
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