Instructions to use MatiasPellizzari/Xray with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use MatiasPellizzari/Xray 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://MatiasPellizzari/Xray") - Notebooks
- Google Colab
- Kaggle
Upload trained_model_svm_tuberculosis.pkl
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by fedeed - opened
Xray/trained_model_svm_tuberculosis.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:4a0f00c2652a258015f6511989d2eef1054896e9ae2f830421013a2a52cb69ad
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size 461379515
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