Instructions to use logasja/instagram-sutro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use logasja/instagram-sutro 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/instagram-sutro") - Notebooks
- Google Colab
- Kaggle
Commit History
-
tflite version
Verified signaturef77ecf2
-
Update metadata with huggingface_hub
Verified signaturecb4e317 -
Upload README.md with huggingface_hub
Verified signature5c4e4c6 -
Upload ./assets/output.png with huggingface_hub
Verified signature5af5aff -
Upload ./assets/summary_plot.png with huggingface_hub
Verified signature9348439 -
Save model using Keras.
Verified signature5993301
-
Update README.md
Verified signaturef4734a6
-
Update metadata with huggingface_hub
Verified signature8d87174 -
Upload README.md with huggingface_hub
Verified signaturef9bf3c3 -
Upload ./assets/input.png with huggingface_hub
Verified signature32cd93c -
Upload ./assets/output.png with huggingface_hub
Verified signature897b138 -
Upload ./assets/target.png with huggingface_hub
Verified signature879398f -
Upload ./assets/summary_plot.png with huggingface_hub
Verified signature97b2380 -
Save model using Keras.
Verified signature08486b8 -
initial commit
Verified signaturecaa22b8