Update README.md
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README.md
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We have two ways of using our model for this application. The first is the recommended `t2v_metrics` approach which we recommend. The latter is a back-up approach directly using Qwen2.5-VL's inference demo.
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1. `t2v_metrics` Approach
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```python
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# Install the package using: pip install git+https://github.com/chancharikmitra/t2v_metrics.git
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We have two ways of using our model for this application. The first is the recommended `t2v_metrics` approach which we recommend. The latter is a back-up approach directly using Qwen2.5-VL's inference demo.
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1. `t2v_metrics` Approach
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```python
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# Install the package using: pip install git+https://github.com/chancharikmitra/t2v_metrics.git
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We have two ways of using our model for this application. The first is the recommended `t2v_metrics` approach which we recommend. The latter is a back-up approach directly using Qwen2.5-VL's inference demo.
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1. `t2v_metrics` Approach (recommended)
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```python
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# Install the package using: pip install git+https://github.com/chancharikmitra/t2v_metrics.git
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We have two ways of using our model for this application. The first is the recommended `t2v_metrics` approach which we recommend. The latter is a back-up approach directly using Qwen2.5-VL's inference demo.
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1. `t2v_metrics` Approach (recommended)
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```python
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# Install the package using: pip install git+https://github.com/chancharikmitra/t2v_metrics.git
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