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Model from the paper ["SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understanding"](https://arxiv.org/abs/2209.06638).
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This a port of the original [SPACE-2 model](https://github.com/AlibabaResearch/DAMO-ConvAI/tree/main/space-2) using
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This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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Model from the paper ["SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understanding"](https://arxiv.org/abs/2209.06638).
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This a port of the original [SPACE-2 model](https://github.com/AlibabaResearch/DAMO-ConvAI/tree/main/space-2) using authors' original [space2hug.py](https://github.com/AlibabaResearch/DAMO-ConvAI/blob/main/space-2/tools/space2hug.py) convertion script.
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This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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