Instructions to use ssmits/Qwen2.5-7B-embed-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ssmits/Qwen2.5-7B-embed-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ssmits/Qwen2.5-7B-embed-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
Improve language tag
#1
by lbourdois - opened
Hi! As the model is multilingual, this is a PR to add other languages than English to the language tag to improve the referencing. Note that 29 languages are announced in the README, but only 13 are explicitly listed. I was therefore only able to add these 13 languages.
ssmits changed pull request status to merged
Thank you, sounds good!