Instructions to use GiladtheFixer/my_Mnist_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use GiladtheFixer/my_Mnist_Model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://GiladtheFixer/my_Mnist_Model") - Notebooks
- Google Colab
- Kaggle
metadata
language: he
license: mit
tags:
- keras
- mnist
- image-classification
datasets: mnist
model-type: image-classification
MNIST Classification Model
诪讜讚诇 驻砖讜讟 诇讝讬讛讜讬 住驻专讜转 讘讻转讘 讬讚, 诪讗讜诪谉 注诇 诪讗讙专 讛谞转讜谞讬诐 MNIST.