Instructions to use alphaedge-ai/Qwen3-Embedding-tgk-16384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use alphaedge-ai/Qwen3-Embedding-tgk-16384 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("alphaedge-ai/Qwen3-Embedding-tgk-16384") 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
File size: 215 Bytes
e875f9b | 1 2 3 4 5 6 7 8 | {
"prompts": {
"query": "Instruct: Given a web search query, retrieve relevant passages that answer the query\nQuery:",
"document": ""
},
"default_prompt_name": null,
"similarity_fn_name": "cosine"
} |