Add library_name and pipeline_tag metadata
Browse filesThis PR improves the model card by adding the `library_name` and `pipeline_tag` metadata. This will allow users to easily find and use the model, and ensures the model can be found at https://huggingface.co/models?pipeline_tag=text-generation&sort=trending.
README.md
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---
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language:
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- en
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- zh
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- km
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- su
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- tl
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tags:
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- multilingual
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- sea
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example_title: Indonesian
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- text: Làm thế nào để nướng cá?
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example_title: Vietnamese
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-
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base_model:
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- Qwen/Qwen2.5-0.5B
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---
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<div align="center">
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<img src="sailor2_banner.jpg" width="700"/>
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</div>
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> The logo was generated by MidJourney
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-
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Sailor2 is a community-driven initiative that brings cutting-edge multilingual language models to South-East Asia (SEA).
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Our research highlights a strong demand for models in the **8B and 20B parameter** range for production use, alongside **1B models** for specialized applications,
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such as speculative decoding and research purposes.
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- **Codebase:** [github.com/sail-sg/sailor2](https://github.com/sail-sg/sailor2)
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- **Technical Report:** [Sailor2 Report](https://arxiv.org/pdf/2502.12982)
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-
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## Training details
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During development, we employ a range of advanced technologies to ensure top-tier performance and efficiency:
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Please refer to [Sailor2 Blog](https://sea-sailor.github.io/blog/sailor2/) for more training details.
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-
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## Requirements
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The code of Sailor2 has been in the latest Hugging face transformers and we advise you to install `transformers==4.46.3`.
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# Contact Us
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If you have any questions, please raise an issue or contact us at [[email protected]](mailto:[email protected]) or [[email protected]](mailto:[email protected]).
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---
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base_model:
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- Qwen/Qwen2.5-0.5B
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language:
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- en
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- zh
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- km
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- su
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- tl
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license: apache-2.0
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library_name: transformers
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tags:
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- multilingual
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- sea
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example_title: Indonesian
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- text: Làm thế nào để nướng cá?
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example_title: Vietnamese
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pipeline_tag: text-generation
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---
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```markdown
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<div align="center">
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<img src="sailor2_banner.jpg" width="700"/>
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</div>
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> The logo was generated by MidJourney
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Sailor2 is a community-driven initiative that brings cutting-edge multilingual language models to South-East Asia (SEA).
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Our research highlights a strong demand for models in the **8B and 20B parameter** range for production use, alongside **1B models** for specialized applications,
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such as speculative decoding and research purposes.
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- **Codebase:** [github.com/sail-sg/sailor2](https://github.com/sail-sg/sailor2)
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- **Technical Report:** [Sailor2 Report](https://arxiv.org/pdf/2502.12982)
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## Training details
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During development, we employ a range of advanced technologies to ensure top-tier performance and efficiency:
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Please refer to [Sailor2 Blog](https://sea-sailor.github.io/blog/sailor2/) for more training details.
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## Requirements
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The code of Sailor2 has been in the latest Hugging face transformers and we advise you to install `transformers==4.46.3`.
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# Contact Us
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If you have any questions, please raise an issue or contact us at [[email protected]](mailto:[email protected]) or [[email protected]](mailto:[email protected]).
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```
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