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
使用词嵌入模型dmeta-embedding-zh用于以下文档时会报错
#10 opened about 1 year ago
by
xiyuvi
Adding `safetensors` variant of this model
#9 opened over 1 year ago
by
SFconvertbot
模型架构
#8 opened over 1 year ago
by
wangxuebing
Dimension是1024还是768
1
#7 opened about 2 years ago
by
luxwxin
cls_pooling和mean_pooling对比
1
#6 opened about 2 years ago
by
JaheimLee
DMeta Embedding 使用教程
#5 opened about 2 years ago
by
intelligencegear
Dmeta-embedding API is released and open for beta testing! 👏👏👏
#4 opened about 2 years ago
by
xiaowenbin
请问可以转化成 ONNX 加速推理吗?
4
#2 opened over 2 years ago
by
Visitor897
是否计划提供训练和微调方案?
❤️ 1
3
#1 opened over 2 years ago
by
YueJie