Instructions to use logasja/instagram-xpro2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use logasja/instagram-xpro2 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-xpro2") - Notebooks
- Google Colab
- Kaggle
Download assets/output.png from logasja/instagram-xpro2: direct link, hf CLI and curl.
- Browser
- Download file 124 kB
-
https://huggingface.co/logasja/instagram-xpro2/resolve/main/assets/output.png
- Command line
-
hf download hf://logasja/instagram-xpro2/assets/output.png
-
curl -L -o output.png https://huggingface.co/logasja/instagram-xpro2/resolve/main/assets/output.png
124 kB

- Xet hash:
- 6ce726d1c69d9ea3f22312c40ddd690917c44a10caa6fa5f20f2bdbee62d4dbe
- Size of remote file:
- 124 kB
- SHA256:
- 988dd3e406202798e2e541c92eaafee25e2b75d9b2642f3e8819d470abbe874a
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