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:
- 9d76dab7b41f8458262fc2762a7d71a9e5f6cd2abd81d86ae7deb1cb5bbd1172
- Size of remote file:
- 175 Bytes
- SHA256:
- 731a99bb60974d8f38057e004a1d533a6ec54d0fdacd8b5553f534bea6daef76
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