Instructions to use logasja/instagram-crema with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use logasja/instagram-crema with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://logasja/instagram-crema") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ea5396ec36c1e7b73e3a289f06ee75d1705388d895c59ce463509dfc1794bd3
- Size of remote file:
- 137 MB
- SHA256:
- 7a75f959a7c0d633095c0e02e25f05a02889f9efe49c48ba8ddcc40b2977b0ba
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.