Instructions to use OneclickAI/CNN_test_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use OneclickAI/CNN_test_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://OneclickAI/CNN_test_Model") - Notebooks
- Google Colab
- Kaggle
File size: 312 Bytes
305769a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"_from_model_id": "keras-model",
"architectures": [
"CNN"
],
"model_type": "Keras",
"pipeline_tag": "image-classification",
"task_tags": [
"image-classification"
],
"tags": [
"tensorflow",
"keras",
"mnist",
"cnn"
],
"datasets": [
"mnist"
]
} |