defUniversalSentenceLanguage(variant:str="base",version:Union[int,None]=None):""" Retreive a [universal sentence encoder](https://tfhub.dev/google/collections/universal-sentence-encoder/1) model from tfhub. You can download specific versions for specific variants. The variants that we support are listed below. - `"base"`: the base variant (915MB) [link](https://tfhub.dev/google/universal-sentence-encoder/4) - `"large"`: the large variant (523MB) [link](https://tfhub.dev/google/universal-sentence-encoder-large/5) - `"qa"`: the variant based on question/answer (528MB) [link](https://tfhub.dev/google/universal-sentence-encoder-qa/3) - `"multi"`: the multi-language variant (245MB) [link](https://tfhub.dev/google/universal-sentence-encoder-multilingual/3) - `"multi-large"`: the large multi-language variant (303MB) [link](https://tfhub.dev/google/universal-sentence-encoder-multilingual-large/3) - `"multi-qa"`: the multi-language qa variant (310MB) [link](https://tfhub.dev/google/universal-sentence-encoder-multilingual-qa/3) TFHub reports that the multi-language models support Arabic, Chinese-simplified, Chinese-traditional, English, French, German, Italian, Japanese, Korean, Dutch, Polish, Portuguese, Spanish, Thai, Turkish and Russian. Important: This object will automatically download a large file if it is not cached yet. This language model does not contain a vocabulary, so it cannot be used to retreive similar tokens. Use an `EmbeddingSet` instead. This language backend might require you to manually install extra dependencies unless you installed via either; ``` pip install whatlies[tfhub] pip install whatlies[all] ``` Arguments: variant: select a specific variant version: select a specific version, if kept `None` we'll assume the most recent version """urls={"base":"https://tfhub.dev/google/universal-sentence-encoder/","large":"https://tfhub.dev/google/universal-sentence-encoder-large/","qa":"https://tfhub.dev/google/universal-sentence-encoder-qa/","multi":"https://tfhub.dev/google/universal-sentence-encoder-multilingual/","multi-large":"https://tfhub.dev/google/universal-sentence-encoder-multilingual-large/","multi-qa":"https://tfhub.dev/google/universal-sentence-encoder-multilingual-qa/3",}versions={"base":4,"large":5,"qa":3,"multi":3,"multi-large":3,"multi-qa":3,}version=versions[variant]ifnotversionelseversionurl=urls[variant]+str(version)returnTFHubLanguage(url=url)