Audio-Text-to-Text
Transformers
English
Chinese
transformer
multimodal
vqa
text
audio
Eval Results (legacy)
Instructions to use zeroMN/SHMT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zeroMN/SHMT with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("zeroMN/SHMT", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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- **Repository:** [https://huggingface.co/zeroMN/SHMT](https://huggingface.co/zeroMN/SHMT)
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- **kaggle:** [https://www.kaggle.com/models/zeroeva/evolutionary-multi-modal) (https://www.kaggle.com/models/zeroeva/evolutionary-multi-modal)
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- **Demo:** [https://huggingface.co/spaces/zeroMN/zeroMN-SHMT](https://huggingface.co/spaces/zeroMN/zeroMN-SHMT)
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# Model Card for Evolutionary Multi-Modal Model
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- **Repository:** [https://huggingface.co/zeroMN/SHMT](https://huggingface.co/zeroMN/SHMT)
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- **kaggle:** [https://www.kaggle.com/models/zeroeva/evolutionary-multi-modal) (https://www.kaggle.com/models/zeroeva/evolutionary-multi-modal)
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- **Demo:** [https://huggingface.co/spaces/zeroMN/zeroMN-SHMT](https://huggingface.co/spaces/zeroMN/zeroMN-SHMT)
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# Model Card for Evolutionary Multi-Modal Model
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