Instructions to use iampanda/zpoint_large_embedding_zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use iampanda/zpoint_large_embedding_zh with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("iampanda/zpoint_large_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
Will release the datasets or the code for generating datasets?
#4
by MerlinLi - opened
As the title.
BTW, where to find the LLM 'ZPoint-72B'? Is this model fine-tuned from QWen-2-72B?
Sorry, we will not open source the training data.
Zpoint-72B is a large language model developed by Knowdee Intelligence and will be open-sourced in a few days later.
For data synthesis, you can use Qwen-72B.
code for generating datasets?