Image Classification
LiteRT
Keras
Burmese
tensorflow
burmese
myanmar
handwritten
digit-recognition
computer-vision
cnn
lightweight
edge-ai
Instructions to use Drew2456/MyanNet-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Drew2456/MyanNet-V1 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Drew2456/MyanNet-V1") - Notebooks
- Google Colab
- Kaggle
| { | |
| "filters1": 64, | |
| "filters2": 64, | |
| "dropout": 0.19369249293034319, | |
| "learning_rate": 0.003004836279033769, | |
| "dense_units": 64 | |
| } |