Instructions to use AutoDataBench/Retrieval-resources with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use AutoDataBench/Retrieval-resources with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("AutoDataBench/Retrieval-resources") 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
Download models/Qwen3-Embedding-0.6B/generation_config.json from AutoDataBench/Retrieval-resources: direct link, hf CLI and curl.
- Browser
- Download file 117 Bytes
-
https://huggingface.co/AutoDataBench/Retrieval-resources/resolve/main/models/Qwen3-Embedding-0.6B/generation_config.json
- Command line
-
hf download hf://AutoDataBench/Retrieval-resources/models/Qwen3-Embedding-0.6B/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/AutoDataBench/Retrieval-resources/resolve/main/models/Qwen3-Embedding-0.6B/generation_config.json
117 Bytes
| { | |
| "bos_token_id": 151643, | |
| "eos_token_id": 151643, | |
| "max_new_tokens": 2048, | |
| "transformers_version": "4.51.3" | |
| } | |