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_pneumonia.pkl (#1)
Browse files- Upload trained_model_svm_pneumonia.pkl (20f0d26006c53d560731221867b886beba2140da)
Co-authored-by: Federico D <fedeed@users.noreply.huggingface.co>
Xray/trained_model_svm_pneumonia.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:1311df65ee34edc42a8698b0c88d1df1abb93132c840e84da969529bdf27b7be
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size 849356331
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