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:
# !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-crema") - Notebooks
- Google Colab
- Kaggle
Download model.tflite from logasja/instagram-crema: direct link, hf CLI and curl.
- Browser
- Download file 68.5 MB
-
https://huggingface.co/logasja/instagram-crema/resolve/main/model.tflite
- Command line
-
hf download hf://logasja/instagram-crema/model.tflite
-
curl -L -o model.tflite https://huggingface.co/logasja/instagram-crema/resolve/main/model.tflite
68.5 MB
- Xet hash:
- 90ae286e835c4f683a7c610100da18eccfc1aede5f18af9cf9cf78537297362d
- Size of remote file:
- 68.5 MB
- SHA256:
- a69762adc242b16ca1eb17480c8954489016596ff09b418ffc33a7fb4d68154f
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