Sentence Similarity
sentence-transformers
PyTorch
Safetensors
bert
feature-extraction
mteb
Eval Results (legacy)
Instructions to use dunzhang/stella-mrl-large-zh-v3.5-1792d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use dunzhang/stella-mrl-large-zh-v3.5-1792d with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dunzhang/stella-mrl-large-zh-v3.5-1792d") 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
垂域微调代码
#14 opened over 1 year ago
by
yingzhang79
模型许可问题
2
#12 opened about 2 years ago
by
foolishamn
请问 我使用rerank_model 进行问题与文本的比较过程中 发现返回的参数总是大于我给出的 从而导致无法排序的问题
3
#11 opened over 2 years ago
by
Leekang199704
Adding `safetensors` variant of this model
#9 opened over 2 years ago
by
SFconvertbot
模型训练的示例
3
#7 opened over 2 years ago
by
Anthony-Sun
关于语义检索和语义匹配任务
1
#6 opened over 2 years ago
by
mutalisk
关于微调的技术栈
2
#5 opened over 2 years ago
by
sunxysun
Add tokenizer files
#4 opened over 2 years ago
by
Xenova
Upload ONNX weights
#3 opened over 2 years ago
by
Xenova
关于transformers的用法
1
#2 opened over 2 years ago
by
Lzh2015