Instructions to use ghafil/AiroDx-API with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ghafil/AiroDx-API 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://ghafil/AiroDx-API") - Notebooks
- Google Colab
- Kaggle
Uploading model folder using Git LFS
Browse files- .gitattributes +2 -0
- model/cxr-50x1-remedis-m/assets/index.html +6 -0
- model/cxr-50x1-remedis-m/fingerprint.pb +3 -0
- model/cxr-50x1-remedis-m/index.html +10 -0
- model/cxr-50x1-remedis-m/saved_model.pb +3 -0
- model/cxr-50x1-remedis-m/variables/index.html +8 -0
- model/cxr-50x1-remedis-m/variables/variables.data-00000-of-00001 +3 -0
- model/cxr-50x1-remedis-m/variables/variables.index +0 -0
- model/remedis_multiview_final.keras +3 -0
.gitattributes
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<h1>Index of /protected/published-projects/medical-ai-research-foundation/1.0.0/cxr-50x1-remedis-m/assets/</h1><hr><pre><a href="../">../</a>
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<h1>Index of /protected/published-projects/medical-ai-research-foundation/1.0.0/cxr-50x1-remedis-m/</h1><hr><pre><a href="../">../</a>
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<a href="assets/">assets/</a> 20-Feb-2023 16:49 -
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<a href="variables/">variables/</a> 20-Feb-2023 16:51 -
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<h1>Index of /protected/published-projects/medical-ai-research-foundation/1.0.0/cxr-50x1-remedis-m/variables/</h1><hr><pre><a href="../">../</a>
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<a href="variables.data-00000-of-00001">variables.data-00000-of-00001</a> 20-Feb-2023 16:51 94106451
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