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EnergeticAI currently uses the lite Universal Sentence Encoder model, which is English only: https://tfhub.dev/google/universal-sentence-encoder-lite/2
It's possible we could convert one of the smaller multilingual models on TFHub and explore if there's a way to get it to be usable: https://tfhub.dev/google/universal-sentence-encoder-multilingual/3
The text was updated successfully, but these errors were encountered:
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EnergeticAI currently uses the lite Universal Sentence Encoder model, which is English only:
https://tfhub.dev/google/universal-sentence-encoder-lite/2
It's possible we could convert one of the smaller multilingual models on TFHub and explore if there's a way to get it to be usable:
https://tfhub.dev/google/universal-sentence-encoder-multilingual/3
The text was updated successfully, but these errors were encountered: