Instructions to use logasja/instagram-lark with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use logasja/instagram-lark 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-lark") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 967b1afc50b42f53542b011c8c27e2d6f31f3ede558b2bceae907b749fe2d2e5
- Size of remote file:
- 68.5 MB
- SHA256:
- 89e5a3c08a5efac733c7d46a4f0c9f0fa71868b3d36985adaf86d03fa706bcce
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