Video-Text-to-Text
Transformers
Safetensors
English
Chinese
qwen3_5
image-text-to-text
Unified_Emotion_Intelligence
Reasoning_Model
Instructions to use Jiaha0Hu4ng/OneEmo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jiaha0Hu4ng/OneEmo with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Jiaha0Hu4ng/OneEmo") model = AutoModelForMultimodalLM.from_pretrained("Jiaha0Hu4ng/OneEmo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Fix pipeline tag and add library name
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by nielsr HF Staff - opened
README.md
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license: cc-by-nc-4.0
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tags:
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- Unified_Emotion_Intelligence
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- Reasoning_Model
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language:
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- en
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- zh
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datasets:
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- Jiaha0Hu4ng/EmoWorld-130K
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base_model:
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- Jiaha0Hu4ng/OneEmo-Base
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pipeline_tag: reinforcement-learning
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# Model Card
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base_model:
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- Jiaha0Hu4ng/OneEmo-Base
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datasets:
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- Jiaha0Hu4ng/EmoWorld-130K
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language:
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- en
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- zh
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license: cc-by-nc-4.0
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library_name: transformers
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pipeline_tag: video-text-to-text
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tags:
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- Unified_Emotion_Intelligence
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- Reasoning_Model
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# Model Card
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