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            - creating useful tl;dr descriptions that can give you a quick sense of what a dataset or model is for
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            - as input text for creating embeddings for semantic search. You can see a demo of this in [librarian-bots/huggingface-datasets-semantic-search](https://huggingface.co/spaces/librarian-bots/huggingface-datasets-semantic-search).
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            The model was trained using supervised fine-tuning (SFT) with [TRL](https://github.com/huggingface/trl).
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            ## Intended Use
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            - creating useful tl;dr descriptions that can give you a quick sense of what a dataset or model is for
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            - as input text for creating embeddings for semantic search. You can see a demo of this in [librarian-bots/huggingface-datasets-semantic-search](https://huggingface.co/spaces/librarian-bots/huggingface-datasets-semantic-search).
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            The model was trained using supervised fine-tuning (SFT) with [TRL](https://github.com/huggingface/trl). 
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            A meta example of a summary generated for this card: 
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            > This model is a fine-tuned version of SmolLM2-360M for generating concise, one-sentence summaries of model and dataset cards from the Hugging Face Hub.
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            ## Intended Use
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