Instructions to use osanseviero/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use osanseviero/test with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://osanseviero/test") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 4021304659237d5e3a66ef87a27df913e665c96aed3a2e097f43914e70d90766
- Size of remote file:
- 4.1 kB
- SHA256:
- 24652db6ea3040d60ab0ec35af6872350d68077e71b980cceb163c143fd96ce8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.