hkunlp/instructor xl We introduce Instructor 👨🏫, an instruction finetuned text embedding model that can generate text embeddings tailored to any task (e.g., classification, retrieval, clustering, text evaluation, etc.) and domains (e.g., science, finance, etc.) by simply providing the task instruction, without any finetuning . Instructor👨 achieves sota on 70 diverse embedding tasks! The model is easy to use with our customized sentence transformer library. For more details, check out our paper and project page! Updates 01/21: We released a new checkpoint trained with hard negatives, which gives better performance. 12/21: We released our paper, code, checkpoint and project page! Check them out! Quick start Installation Compute your customized embeddings Then you can use the model like this to calculate domain specific and task aware embeddings: Use cases Calculate embeddings for your customized texts If you want to calculate customized embeddings for specific sentences, you may follow the unified template to write instructions: &n…
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