Instructions to use moka-ai/m3e-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use moka-ai/m3e-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("moka-ai/m3e-base") 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
训练数据集
#17
by zzlife - opened
您好,您提供的M3E的训练数据集详情点击没有反应,您能给个链接吗?
https://huggingface.co/moka-ai/m3e-base#%F0%9F%93%82-m3e%E6%95%B0%E6%8D%AE%E9%9B%86
使用的训练集就在 Model Card 中的这一节,表格中整理了数据集相关的信息,也提供了数据处理的脚本。