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README.md
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### Model Description
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This model, named `
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### Model Sources
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- **Repository:** [GitHub Repository URL](https://
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- **Paper:** [Paper Title](https://arxiv.org/abs/your-paper-id) (if applicable)
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- **Demo:** [Demo URL](https://
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##
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### Direct Use
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The `
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### Downstream Use
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## How to Get Started with the Model
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Use the code below to get started with the `
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```python
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import torch
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### Model Description
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This model, named `SG1.0.pth`, is a multimodal transformer designed to handle a variety of tasks including vision and audio processing. It is built on top of the `adapter-transformers` and `transformers` libraries and is intended to be a versatile base model for both direct use and fine-tuning.
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--
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**Developed by:** Independent researcher
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**Funded by :** Self-funded
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**Shared by :** Independent researcher
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**Model type:** Multimodal
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**Language(s) (NLP):** English zh
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**License:** Apache-2.0
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**Finetuned from model :** None
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### Model Sources
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- **Repository:** [GitHub Repository URL](https://huggingface.co/zeroMN/SG1.0)
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- **Paper:** [Paper Title](https://arxiv.org/abs/your-paper-id) (if applicable)
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- **Demo:** [Demo URL](https://huggingface.co/spaces/zeroMN/zeroMN-SG1.0) (if applicable)
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## Useshttps://huggingface.co/spaces/zeroMN/zeroMN-SG1.0
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### Direct Use
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The `SG1.0.pth` model can be used directly for tasks such as image classification, object detection, and audio processing without any fine-tuning. It is designed to handle a wide range of input modalities and can be integrated into various applications.
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### Downstream Use
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## How to Get Started with the Model
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Use the code below to get started with the `SG1.0.pth` model.
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```python
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import torch
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