Sentence Similarity
sentence-transformers
PyTorch
bert
feature-extraction
mteb
Eval Results (legacy)
Instructions to use infgrad/stella-base-zh-v3-1792d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use infgrad/stella-base-zh-v3-1792d with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("infgrad/stella-base-zh-v3-1792d") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Inference
- Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#7 opened almost 2 years ago
by
SFconvertbot
Matryoshka support?
#5 opened about 2 years ago
by
BenWan
是否漏掉了 一些模型参数?
3
#4 opened over 2 years ago
by
hulianxue
请问stella 系列模型能否添加license
1
#3 opened over 2 years ago
by
yvvq
关于模型的训练细节
1
#2 opened over 2 years ago
by
zrqssjdys
the embeddings from Transformers and Sentence Transformers do not match
5
#1 opened over 2 years ago
by
kenzo226