E5 v2 Models
收藏Databricks2024-05-09 收录
下载链接：
https://marketplace.databricks.com/details/2a8db063-748a-4f8f-97bf-d8b0c247b5df/Databricks_E5-v2-Models
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资源简介：
**Overview**
The e5_v2 models are embedding models developed by Microsoft and packaged using MLflow’s sentence_transformers flavor. The models provided in this listing are
- [e5_base_v2](https://huggingface.co/intfloat/e5-base-v2)
- [e5_large_v2](https://huggingface.co/intfloat/e5-large-v2)
- [e5_small_v2](https://huggingface.co/intfloat/e5-small-v2)
E5_v2 models are licensed under the [MIT License](https://github.com/microsoft/unilm/blob/master/LICENSE). By installing this listing, you acknowledge and agree to the license.
For example notebooks of using the e5_v2 models in various use cases on Databricks, refer to [the Databricks ML example repository](https://github.com/databricks/databricks-ml-examples/tree/master/llm-models/embedding/e5-v2).
**Use cases**
The e5_v2 models are embedding models that map text to low-dimensional vectors, and some example use cases are:
- RAG implementation
- Data visualization with clustering
- Semantic search document search engine
**Product details**
The embedding models in this listing can be deployed directly to Databricks Model Serving for immediate use, or loaded for fine-tuning or batch inference use cases. For more details, install the listing and view the provided model cards for each model.
提供机构：
Databricks
