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README.md
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- sentence-transformers
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- sentence-similarity
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- feature-extraction
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base_model:
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datasets: []
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widget: []
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pipeline_tag: sentence-similarity
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---
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# SentenceTransformer based on
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This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [
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## Model Details
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### Model Description
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- **Model Type:** Sentence Transformer
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- **Base model:** [
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- **Maximum Sequence Length:** None tokens
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- **Output Dimensionality:** 768 tokens
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- **Similarity Function:** Cosine Similarity
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- sentence-transformers
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- sentence-similarity
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- feature-extraction
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base_model: google/umt5-base
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datasets: []
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widget: []
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pipeline_tag: sentence-similarity
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# SentenceTransformer based on google/umt5-base
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This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [google/umt5-base](https://huggingface.co/google/umt5-base). It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
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## Model Details
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### Model Description
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- **Model Type:** Sentence Transformer
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- **Base model:** [google/umt5-base](https://huggingface.co/google/umt5-base) <!-- at revision a9b853373f41ce6fd8c6553576b36ac907ccec8e -->
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- **Maximum Sequence Length:** None tokens
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- **Output Dimensionality:** 768 tokens
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- **Similarity Function:** Cosine Similarity
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