yaolily nielsr HF Staff commited on
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Add pipeline tag and library name to metadata (#1)

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- Add pipeline tag and library name to metadata (0f661f42dae95a4b7c4f0597dc194f419346d92c)


Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>

Files changed (1) hide show
  1. README.md +6 -2
README.md CHANGED
@@ -1,6 +1,8 @@
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  ---
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  base_model:
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  - Qwen/Qwen2.5-Omni-7B
 
 
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  ---
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  # TimeChat-Captioner: Scripting Multi-Scene Videos with Time-Aware and Structural Audio-Visual Captions
@@ -22,6 +24,7 @@ base_model:
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  - **🌐 Project Page:** [timechat-captioner.github.io](https://timechat-captioner.github.io/)
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  - **🏠 Model:** [TimeChat-Captioner (7B)](https://huggingface.co/yaolily/TimeChat-Captioner-GRPO-7B)
 
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  - **πŸ“š Train Dataset:** [TimeChatCap-42K](https://huggingface.co/datasets/yaolily/Timechat-OmniCaptioner-42K)
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  - **πŸ† Benchmark:** [OmniDCBench](https://huggingface.co/datasets/yaolily/OmniDenseCap-Benchmark)
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@@ -129,7 +132,8 @@ with torch.inference_mode():
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  response = processor.decode(text_ids[0][inputs.input_ids[0].size(0):], skip_special_tokens=True)
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- print("\n" + "="*50)
 
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  print("🎬 VIDEO DESCRIPTION:")
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  print("="*50)
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  print(response)
@@ -151,4 +155,4 @@ print("="*50)
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  primaryClass={cs.CV},
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  url={https://arxiv.org/abs/2602.08711}
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  }
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- ```
 
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  ---
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  base_model:
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  - Qwen/Qwen2.5-Omni-7B
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+ library_name: transformers
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+ pipeline_tag: video-text-to-text
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  ---
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  # TimeChat-Captioner: Scripting Multi-Scene Videos with Time-Aware and Structural Audio-Visual Captions
 
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  - **🌐 Project Page:** [timechat-captioner.github.io](https://timechat-captioner.github.io/)
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  - **🏠 Model:** [TimeChat-Captioner (7B)](https://huggingface.co/yaolily/TimeChat-Captioner-GRPO-7B)
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+ - **πŸ’» Code:** [GitHub Repository](https://github.com/yaolinli/TimeChat-Captioner)
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  - **πŸ“š Train Dataset:** [TimeChatCap-42K](https://huggingface.co/datasets/yaolily/Timechat-OmniCaptioner-42K)
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  - **πŸ† Benchmark:** [OmniDCBench](https://huggingface.co/datasets/yaolily/OmniDenseCap-Benchmark)
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  response = processor.decode(text_ids[0][inputs.input_ids[0].size(0):], skip_special_tokens=True)
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+ print("
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+ " + "="*50)
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  print("🎬 VIDEO DESCRIPTION:")
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  print("="*50)
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  print(response)
 
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  primaryClass={cs.CV},
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  url={https://arxiv.org/abs/2602.08711}
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  }
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+ ```