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:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://ghafil/AiroDx-API") - Notebooks
- Google Colab
- Kaggle
| absl-py==2.4.0 | |
| annotated-doc==0.0.4 | |
| annotated-types==0.7.0 | |
| anyio==4.13.0 | |
| astunparse==1.6.3 | |
| certifi==2026.2.25 | |
| charset-normalizer==3.4.6 | |
| click==8.3.1 | |
| colorama==0.4.6 | |
| fastapi==0.135.2 | |
| flatbuffers==25.12.19 | |
| gast==0.7.0 | |
| google-pasta==0.2.0 | |
| grpcio==1.78.0 | |
| h11==0.16.0 | |
| h5py==3.14.0 | |
| idna==3.11 | |
| keras==3.13.2 | |
| libclang==18.1.1 | |
| markdown-it-py==4.0.0 | |
| mdurl==0.1.2 | |
| ml_dtypes==0.5.4 | |
| namex==0.1.0 | |
| numpy==2.4.3 | |
| opencv-python-headless==4.13.0.92 | |
| opt_einsum==3.4.0 | |
| optree==0.19.0 | |
| packaging==26.0 | |
| protobuf==7.34.1 | |
| pydantic==2.12.5 | |
| pydantic_core==2.41.5 | |
| Pygments==2.19.2 | |
| python-multipart==0.0.22 | |
| requests==2.33.0 | |
| rich==14.3.3 | |
| six==1.17.0 | |
| starlette==1.0.0 | |
| tensorflow==2.21.0 | |
| termcolor==3.3.0 | |
| typing-inspection==0.4.2 | |
| typing_extensions==4.15.0 | |
| urllib3==2.6.3 | |
| uvicorn==0.42.0 | |
| wrapt==2.1.2 | |