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 .gitattributes from AutoDataBench/Retrieval-resources: direct link, hf CLI and curl.
- Browser
- Download file 342 Bytes
-
https://huggingface.co/AutoDataBench/Retrieval-resources/resolve/main/.gitattributes
- Command line
-
hf download hf://AutoDataBench/Retrieval-resources/.gitattributes
-
curl -L -o .gitattributes https://huggingface.co/AutoDataBench/Retrieval-resources/resolve/main/.gitattributes
342 Bytes
| *.bin filter=lfs diff=lfs merge=lfs -text | |
| *.jsonl filter=lfs diff=lfs merge=lfs -text | |
| *.msgpack filter=lfs diff=lfs merge=lfs -text | |
| *.safetensors filter=lfs diff=lfs merge=lfs -text | |
| models/Qwen3-4B-Instruct-2507/tokenizer.json filter=lfs diff=lfs merge=lfs -text | |
| models/Qwen3-Embedding-0.6B/tokenizer.json filter=lfs diff=lfs merge=lfs -text | |