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/Qwen3-4B-Instruct-2507/merges.txt from AutoDataBench/Retrieval-resources: direct link, hf CLI and curl.
- Browser
- Download file 1.67 MB
-
https://huggingface.co/AutoDataBench/Retrieval-resources/resolve/a4efa447e52155c8b38b790aaee35db4b8297c8e/models/Qwen3-4B-Instruct-2507/merges.txt
- Command line
-
hf download hf://AutoDataBench/Retrieval-resources@a4efa447e52155c8b38b790aaee35db4b8297c8e/models/Qwen3-4B-Instruct-2507/merges.txt
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curl -L -o merges.txt https://huggingface.co/AutoDataBench/Retrieval-resources/resolve/a4efa447e52155c8b38b790aaee35db4b8297c8e/models/Qwen3-4B-Instruct-2507/merges.txt
1.67 MB
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