Instructions to use Manav2op/EMOTIA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Manav2op/EMOTIA with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Manav2op/EMOTIA", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add model card metadata to README.md
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README.md
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# EMOTIA Advanced - Multi-Modal Emotion & Intent Intelligence for Video Calls
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[](https://github.com/Manavarya09/Multi-Modal-Emotion-Intent-Intelligence-for-Video-Calls/actions/workflows/cicd.yml)
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---
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tags:
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- emotion-detection
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- intent-analysis
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- multi-modal
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- video-analysis
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- real-time
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- clip
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- transformers
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license: mit
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datasets:
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- custom
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metrics:
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- accuracy
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- f1-score
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---
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# EMOTIA Advanced - Multi-Modal Emotion & Intent Intelligence for Video Calls
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[](https://github.com/Manavarya09/Multi-Modal-Emotion-Intent-Intelligence-for-Video-Calls/actions/workflows/cicd.yml)
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