Instructions to use ytgui/Search-R3.0-Small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ytgui/Search-R3.0-Small with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, HFQwen2LM tokenizer = AutoTokenizer.from_pretrained("ytgui/Search-R3.0-Small") model = HFQwen2LM.from_pretrained("ytgui/Search-R3.0-Small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Improve model card: Update pipeline tag, add library name, and GitHub link
Verified signatureThis PR enhances the model card for Search-R3 by: - Updating the `pipeline_tag` from `text-generation` to `text-retrieval` to accurately reflect the model's primary function of generating embeddings for search tasks. - Adding `library_name: transformers` to enable the automated usage widget on the Hub, as the model demonstrates compatibility with the `transformers` library in its usage examples and `config.json`. - Including an explicit link to the GitHub repository: https://github.com/ytgui/Search-R3 for improved discoverability.c52e97c
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