 Intended uses & limitations  This model is trained for document similarity tasks in **computer science** scientific text using a single vector per document. Here, the documents are the title and abstract of a paper. With appropriate fine-tuning the model can also be used for other tasks such as classification. Since the training data comes primarily from computer science, performance on other domains may be poorer.  