⚠️ This model is deprecated. Please don't use it as it produces sentence embeddings of low quality. You can find recommended sentence embedding models here: SBERT.net Pretrained Models sentence transformers/xlm r 100langs bert base nli stsb mean tokens This is a sentence transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search. Usage (Sentence Transformers) Using this model becomes easy when you have sentence transformers installed: Then you can use the model like this: Usage (HuggingFace Transformers) Without sentence transformers, you can use the model like this: First, you pass your input through the transformer model, then you have to apply the right pooling operation on top of the contextualized word embeddings. Full Model Architecture Citing & Authors This model was trained by sentence transformers. If you find this model helpful, feel free to cite our publication Sentence BERT: Sentence Embeddings using Siamese BERT Networks:
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy