2、嵌入模型调用示例 from chromadb.utils.embedding_functions.ollama_embedding_function import OllamaEmbeddingFunction embed_model= OllamaEmbeddingFunction(url="http://localhost:11434/api/embeddings", model_name="lrs33/bce-embedding-base_v1") print(embed_model("this is a test"))编辑...
1. 使用sudo rpm -ivh 包名.rpm进行安装 2. 运行git lfs install,如果显示Git LFS initialized说明安装成功 3. 切换到/opt/maxkb/model/bce-embedding-base_v1目录下,然后执行 git lfs pull,此时会下载向量模型文件,等待文件下载完成。 编辑 2. 修改docker-compose.yml,添加volume挂载点 进入/opt/maxkb/...
maidalun1020/bce-embedding-base_v1 · Hugging Face 内容: # BCEmbedding: Bilingual and Crosslingual Embedding for RAG 最新bce-embedding-base_v1相关信息,以及更多MTEB和RAG相关评测细节,请移步: The latest "Updates" should be check in: GitHub 主要特点(Key Features): * 中英双语,以及中英跨语种能力...
add bce-embedding-base_v1 feat:add bce-embedding-base_v1 1c73ac3 545999961 merged commit 068e86f into FlagOpen:master Nov 7, 2024 Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment Reviewers No reviews Assignees No one assigned Labels...