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    | @@ -13,7 +13,7 @@ library_name: transformers | |
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            pipeline_tag: text-generation
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            tags:
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            - goldfish
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            -
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            ---
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            # kur_arab_full
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| @@ -26,7 +26,7 @@ Note: This language is available in Goldfish with other scripts (writing systems | |
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            Note: kur_arab is a [macrolanguage](https://iso639-3.sil.org/code_tables/639/data) code. Individual language code ckb_arab (Central Kurdish) is included in Goldfish, although with less data.
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            -
            All training and hyperparameter details are in our paper, [Goldfish: Monolingual Language Models for 350 Languages (Chang et al., 2024)](https:// | 
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            Training code and sample usage: https://github.com/tylerachang/goldfish
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| @@ -36,6 +36,7 @@ Sample usage also in this Google Colab: [link](https://colab.research.google.com | |
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            To access all Goldfish model details programmatically, see https://github.com/tylerachang/goldfish/blob/main/model_details.json.
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            All models are trained with a [CLS] (same as [BOS]) token prepended, and a [SEP] (same as [EOS]) token separating sequences.
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            Details for this model specifically:
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            * Architecture: gpt2
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              author={Chang, Tyler A. and Arnett, Catherine and Tu, Zhuowen and Bergen, Benjamin K.},
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              journal={Preprint},
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              year={2024},
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            }
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            ```
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            pipeline_tag: text-generation
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            tags:
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            - goldfish
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            +
            - arxiv:2408.10441
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            ---
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            # kur_arab_full
         | 
|  | |
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            Note: kur_arab is a [macrolanguage](https://iso639-3.sil.org/code_tables/639/data) code. Individual language code ckb_arab (Central Kurdish) is included in Goldfish, although with less data.
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            +
            All training and hyperparameter details are in our paper, [Goldfish: Monolingual Language Models for 350 Languages (Chang et al., 2024)](https://www.arxiv.org/abs/2408.10441).
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            Training code and sample usage: https://github.com/tylerachang/goldfish
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|  | |
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            To access all Goldfish model details programmatically, see https://github.com/tylerachang/goldfish/blob/main/model_details.json.
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            All models are trained with a [CLS] (same as [BOS]) token prepended, and a [SEP] (same as [EOS]) token separating sequences.
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            +
            For best results, make sure that [CLS] is prepended to your input sequence (see sample usage linked above)!
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            Details for this model specifically:
         | 
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            * Architecture: gpt2
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|  | |
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              author={Chang, Tyler A. and Arnett, Catherine and Tu, Zhuowen and Bergen, Benjamin K.},
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              journal={Preprint},
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              year={2024},
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            +
              url={https://www.arxiv.org/abs/2408.10441},
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            }
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            ```
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