AI is happening. The future is updating.instructor-base
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! * 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! Then you can use the model like this to calculate domain-specific and task-aware embeddings:
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! * 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! Then you can use the model like this to calculate domain-specific and task-aware embeddings: