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@@ -4,10 +4,9 @@ thumbnail: https://github.com/rinnakk/japanese-pretrained-models/blob/master/rin
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  license: apache-2.0
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  tags:
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  - feature-extraction
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- - ja
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- - japanese
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  - clip
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  - vision
 
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  ---
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  # rinna/japanese-clip-vit-b-16
@@ -68,6 +67,24 @@ The model was trained a ViT-B/16 Transformer architecture as an image encoder a
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  The model was trained on [CC12M](https://github.com/google-research-datasets/conceptual-12m) translated the captions to Japanese.
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  # License
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  [The Apache 2.0 license](https://www.apache.org/licenses/LICENSE-2.0)
 
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  license: apache-2.0
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  tags:
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  - feature-extraction
 
 
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  - clip
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  - vision
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+ inference: false
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  ---
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  # rinna/japanese-clip-vit-b-16
 
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  The model was trained on [CC12M](https://github.com/google-research-datasets/conceptual-12m) translated the captions to Japanese.
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+ # How to cite
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+ ~~~
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+ @misc{rinna-japanese-clip-vit-b-16,
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+ title = {rinna/japanese-clip-vit-b-16},
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+ author={Shing, Makoto and Zhao, Tianyu and Sawada, Kei}
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+ url = {https://huggingface.co/rinna/japanese-clip-vit-b-16},
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+ }
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+
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+ @inproceedings{sawada2024release,
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+ title = {Release of Pre-Trained Models for the {J}apanese Language},
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+ author = {Sawada, Kei and Zhao, Tianyu and Shing, Makoto and Mitsui, Kentaro and Kaga, Akio and Hono, Yukiya and Wakatsuki, Toshiaki and Mitsuda, Koh},
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+ booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)},
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+ month = {5},
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+ year = {2024},
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+ url = {https://arxiv.org/abs/2404.01657},
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+ }
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+ ~~~
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+
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  # License
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  [The Apache 2.0 license](https://www.apache.org/licenses/LICENSE-2.0)