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] - Notebooks
- Google Colab
- Kaggle
DMeta Embedding 使用教程
#5
by intelligencegear - opened
写了一个 Langchain + Faiss + DMeta Embedding 的教程:https://github.com/meta-soul/dmeta-embedding-examples/tree/main/embed-your-data
欢迎大家来一起讨论。
intelligencegear changed discussion title from 写了一个 Langchain + Faiss + DMeta Embedding 的教程 to DMeta Embedding 使用教程