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:
- 78f2f86afb659a6d0326dda94e60dfdd216a323d12252ea3b8d51f9311a65a3c
- Size of remote file:
- 295 Bytes
- SHA256:
- 4fbeeea11eebd439a94592aa80c4dc095d461c3c3cb12c12f651210052c683c2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.