Instructions to use STSP/whole_lung_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use STSP/whole_lung_classification with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("STSP/whole_lung_classification") - Keras
How to use STSP/whole_lung_classification with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://STSP/whole_lung_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bef6de4012f9cb9893bb9a0e79f737b0c5d4f12809da109a35b858dcff6c4919
- Size of remote file:
- 588 kB
- SHA256:
- 1956860f4991c74d52391a9bbd7358ade8603686e5f08c8893b8375a1997e131
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