Instructions to use xiaoyaoes/mfv-test-scanner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use xiaoyaoes/mfv-test-scanner with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://xiaoyaoes/mfv-test-scanner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4e7ae41af8ac17d9e0a27e41c174c00f3d563b7ba3e9a411a8f6fe719dd154b1
- Size of remote file:
- 64 Bytes
- SHA256:
- 0b2046941835059d9108f6baac45982d1dcc97c901cacf7e4f0c230ca2023e89
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