Instructions to use logasja/auramask-ensemble-ginza with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use logasja/auramask-ensemble-ginza with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://logasja/auramask-ensemble-ginza") - Notebooks
- Google Colab
- Kaggle
Commit History
-
tflite version
Verified signatured48a1b7
-
Update metadata with huggingface_hub
Verified signature2255e15 -
Upload README.md with huggingface_hub
Verified signaturef48c59c -
Upload ./assets/input.png with huggingface_hub
Verified signaturee3fc838 -
Upload ./assets/output.png with huggingface_hub
Verified signaturecc5c320 -
Upload ./assets/target.png with huggingface_hub
Verified signature3f71b9c -
Upload ./assets/summary_plot.png with huggingface_hub
Verified signature50ab539 -
Save model using Keras.
Verified signatureed51444 -
initial commit
Verified signature47a772e