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The pre-trained embeddings example using the Universal Sentence Encoder is very helpful. I'm wondering how to do the same thing, but with a Gemma model loaded from Keras Hub.
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The pre-trained embeddings example using the Universal Sentence Encoder is very helpful. I'm wondering how to do the same thing, but with a Gemma model loaded from Keras Hub.
The text was updated successfully, but these errors were encountered: