visheratin
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Update README.md
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README.md
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@@ -125,6 +125,11 @@ output = model.generate(**inputs, max_new_tokens=200, do_sample=True, top_p=0.5,
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- VQAv2 - 63.1%
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- VizWiz - 24.03%
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## Acknowledgments
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Thanks to [ML Collective](https://mlcollective.org/) for providing credits for computing resources.
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- VQAv2 - 63.1%
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- VizWiz - 24.03%
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## License
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The model is licensed under MIT license, but since the data used for model training is largely synthetic, you should also follow OpenAI and Google Gemini terms of service.
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Which means don't create competitor models for them.
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## Acknowledgments
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Thanks to [ML Collective](https://mlcollective.org/) for providing credits for computing resources.
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