Feature Extraction
sentence-transformers
PyTorch
Chinese
English
bert
sentence-similarity
mteb
RAG
Eval Results (legacy)
text-embeddings-inference
Instructions to use DMetaSoul/Dmeta-embedding-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use DMetaSoul/Dmeta-embedding-zh with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("DMetaSoul/Dmeta-embedding-zh") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Inference
- Notebooks
- Google Colab
- Kaggle
是否计划提供训练和微调方案?
#1
by YueJie - opened
你好,请问是否计划提供训练和微调方案?
目前正在积极筹备中,后续我们会推出离线优化+在线推理的一套框架,还会跟RAG以及传统搜索等技术生态融合。
请问微调方案有了吗
今天尝试了基于meta的RAG, 感觉不错。 希望以后能提供微调,方便增加一次自己的特定词汇和专属缩写