visheratin
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Update README.md
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README.md
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@@ -112,6 +112,13 @@ inputs['attention_mask'] = inputs['attention_mask'].to(model.device)
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output = model.generate(**inputs, max_new_tokens=200, do_sample=True, top_p=0.5, temperature=1.2, eos_token_id=tokenizer.eos_token_id)
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```
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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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output = model.generate(**inputs, max_new_tokens=200, do_sample=True, top_p=0.5, temperature=1.2, eos_token_id=tokenizer.eos_token_id)
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```
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## Benchmarks
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- TextVQA - 33.25%
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- GQA - 47.15%
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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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