BGE v1.5 Models
收藏Databricks2024-05-09 收录
下载链接：
https://marketplace.databricks.com/details/c0521a85-2bac-4983-a4ff-0ce6d4aa1944/Databricks_BGE-v1.5-Models
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资源简介：
**Overview**
The bge_v1_5 models are embedding models developed by Beijing Academy of Artificial Intelligence and packaged using MLflow’s sentence_transformers flavor. The models provided in this listing are
- [bge_large_en_v1_5](https://huggingface.co/BAAI/bge-large-en-v1.5)
- [bge_base_en_v1_5](https://huggingface.co/BAAI/bge-base-en-v1.5)
- [bge_small_en_v1_5](https://huggingface.co/BAAI/bge-small-en-v1.5)
Bge_v1_5 models are licensed under the [MIT License](https://github.com/FlagOpen/FlagEmbedding/blob/master/LICENSE). By installing this listing, you acknowledge and agree to the license.
For example notebooks of using the bge_v1_5 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/bge).
**Use cases**
The bge_v1_5 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
