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README.md
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- transformers
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license: apache-2.0
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---
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#
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## Описание
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Это порт модели [LaBSE](https://tfhub.dev/google/LaBSE/1) для PyTorch, который позволяет отображать текст на 109 языках в общее векторное пространство.
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from sentence_transformers import SentenceTransformer
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sentences = ["This is an example sentence", "Each sentence is converted"]
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model = SentenceTransformer('wasjaip/
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embeddings = model.encode(sentences)
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print(embeddings)
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```
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#
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This is a port of the [LaBSE](https://tfhub.dev/google/LaBSE/1) model to PyTorch. It can be used to map 109 languages to a shared vector space.
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from sentence_transformers import SentenceTransformer
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sentences = ["This is an example sentence", "Each sentence is converted"]
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model = SentenceTransformer('wasjaip/
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embeddings = model.encode(sentences)
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print(embeddings)
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```
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- transformers
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license: apache-2.0
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---
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# LaBSE_geonames_v1 (ru)
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## Описание
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Это порт модели [LaBSE](https://tfhub.dev/google/LaBSE/1) для PyTorch, который позволяет отображать текст на 109 языках в общее векторное пространство.
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from sentence_transformers import SentenceTransformer
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sentences = ["This is an example sentence", "Each sentence is converted"]
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model = SentenceTransformer('wasjaip/LaBSE_geonames_v1')
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embeddings = model.encode(sentences)
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print(embeddings)
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```
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# LaBSE_geonames_v1 (en)
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This is a port of the [LaBSE](https://tfhub.dev/google/LaBSE/1) model to PyTorch. It can be used to map 109 languages to a shared vector space.
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from sentence_transformers import SentenceTransformer
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sentences = ["This is an example sentence", "Each sentence is converted"]
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model = SentenceTransformer('wasjaip/LaBSE_geonames_v1')
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embeddings = model.encode(sentences)
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print(embeddings)
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```
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