Instructions to use nhradek/cgi-embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use nhradek/cgi-embedding with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://nhradek/cgi-embedding") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac7974e672895feb30ac6609d0bf18df23b447d657e137d469e8274f93c576ae
- Size of remote file:
- 229 MB
- SHA256:
- 58ad419087ae572213a0a1d98cb8f93125334ea071e6c0fce30f348ab1bf2bcd
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