Improve model card with metadata and link to code
Browse filesThis PR improves the model card by adding the `library_name` and `pipeline_tag` metadata. It also adds a link to the Github repository for easier access to the code.
README.md
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license: mit
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---
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Training with 6000 examples and validating with 779 example!
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100%|βββββββββββββββββββββββ| 779/779 [05:18<00:00, 2.44it/s]
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giou: 0.5851, ciou: 0.5860 (LLaVA-v1.5-7B-for-ReasonSeg-testset)
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[2025-03-02 08:13:11.3091[INF0] [launch.py:347:main] Process 791 exits successfully
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---
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license: mit
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library_name: transformers
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pipeline_tag: image-text-to-image
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---
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Training with 6000 examples and validating with 779 example!
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100%|βββββββββββββββββββββββ| 779/779 [05:18<00:00, 2.44it/s]
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giou: 0.5851, ciou: 0.5860 (LLaVA-v1.5-7B-for-ReasonSeg-testset)
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[2025-03-02 08:13:11.3091[INF0] [launch.py:347:main] Process 791 exits successfully
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Code: https://github.com/rui-qian/READ
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This repository contains the READ model described in [Reasoning to Attend: Try to Understand How <SEG> Token Works](https://hf.co/papers/2412.17741).
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