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  # mCLIP: multilingual CLIP
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  Official checkpoints for ACL 2023 long paper "mCLIP: Multilingual CLIP via Cross-lingual Transfer" [[paper](https://aclanthology.org/2023.acl-long.728/)]
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- The models are expected to be loaded with [fairseq v0.10.2](https://github.com/facebookresearch/fairseq/tree/v0.10.2) toolkit.
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- More details are available at <https://github.com/ghchen18/acl23_mclip>.
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+ ---
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+ datasets:
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+ - bentrevett/multi30k
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+ language:
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+ - en
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+ metrics:
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+ - accuracy
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+ pipeline_tag: feature-extraction
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+ ---
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  # mCLIP: multilingual CLIP
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  Official checkpoints for ACL 2023 long paper "mCLIP: Multilingual CLIP via Cross-lingual Transfer" [[paper](https://aclanthology.org/2023.acl-long.728/)]
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+ The models are expected to be loaded with [fairseq v0.10.2](https://github.com/facebookresearch/fairseq/tree/v0.10.2) toolkit. Currently, we do not have the additional resources to migrate this project to Huggingface ecosystem. We are appreciate if you would like to contribute to the migration.
 
 
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+ More details are available at <https://github.com/ghchen18/acl23_mclip>.