Instructions to use logasja/instagram-slumber with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use logasja/instagram-slumber 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-slumber") - Notebooks
- Google Colab
- Kaggle
Upload ./assets/output.png with huggingface_hub
Browse files- .gitattributes +1 -0
- assets/output.png +3 -0
.gitattributes
CHANGED
|
@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
assets/summary_plot.png filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
assets/summary_plot.png filter=lfs diff=lfs merge=lfs -text
|
| 37 |
+
assets/output.png filter=lfs diff=lfs merge=lfs -text
|
assets/output.png
ADDED
|
Git LFS Details
|