Add library_name, pipeline_tag, and links to paper and code

#1
by nielsr HF Staff - opened
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  1. README.md +11 -7
README.md CHANGED
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  ---
 
 
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  language: en
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  license: apache-2.0
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  tags:
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- - human-behavior
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- - multimodal
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- - qwen2.5-omni
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- datasets:
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- - keentomato/human_behavior_atlas
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  ---
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  # OmniSapiens SFT
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- Fine-tuned [Qwen2.5-Omni-7B](https://huggingface.co/Qwen/Qwen2.5-Omni-7B) for human behavior understanding.
 
 
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  ## Benchmark
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  Evaluated on [keentomato/human_behavior_atlas](https://huggingface.co/datasets/keentomato/human_behavior_atlas).
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  answer = processor.decode(generated[0][inputs["input_ids"].shape[1]:], skip_special_tokens=True)
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  print(answer)
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- ```
 
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  ---
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+ datasets:
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+ - keentomato/human_behavior_atlas
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  language: en
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  license: apache-2.0
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  tags:
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+ - human-behavior
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+ - multimodal
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+ - qwen2.5-omni
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+ pipeline_tag: any-to-any
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+ library_name: transformers
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  ---
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  # OmniSapiens SFT
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+ Fine-tuned [Qwen2.5-Omni-7B](https://huggingface.co/Qwen/Qwen2.5-Omni-7B) for human behavior understanding. This model was introduced in the paper [OmniSapiens: A Foundation Model for Social Behavior Processing via Heterogeneity-Aware Relative Policy Optimization](https://huggingface.co/papers/2602.10635).
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+
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+ **Official Code:** [https://github.com/MIT-MI/human_behavior_atlas](https://github.com/MIT-MI/human_behavior_atlas)
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  ## Benchmark
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  Evaluated on [keentomato/human_behavior_atlas](https://huggingface.co/datasets/keentomato/human_behavior_atlas).
 
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  answer = processor.decode(generated[0][inputs["input_ids"].shape[1]:], skip_special_tokens=True)
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  print(answer)
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+ ```