Instructions to use logasja/instagram-lofi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use logasja/instagram-lofi 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-lofi") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 00f18f33c0b81657508b21520f4fb3641a020ce2b7bc3327f8b091856555405b
- Size of remote file:
- 2.27 MB
- SHA256:
- d496438b5712d1da3d883aa6922352fccb346d025f72d5d8be948055616eca01
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.