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readme update

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@@ -4,7 +4,6 @@ license: apache-2.0
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  We open-sourced Flame-Waterfall-7B, a model built by connecting DeepSeek-Coder-7B-Instruct and the SigLIP vision encoder with a 2-layer MLP, and instruction-tuned on the Flame-Code-VLM/Flame-Waterfall-React dataset.
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  This model is released to showcase the value of the synthesized dataset. However, it is not intended for general-purpose tasks. Please use it with caution.
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-
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  ### Generation
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  The following is the sample code for inference.
@@ -55,7 +54,7 @@ cont = model.generate(
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  input_ids,
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  images=image_tensor,
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  image_sizes=image_sizes,
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- modalities=modalities, # Added this line with the modalities
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  do_sample=True,
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  num_beams=5,
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  temperature=0.1,
 
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  We open-sourced Flame-Waterfall-7B, a model built by connecting DeepSeek-Coder-7B-Instruct and the SigLIP vision encoder with a 2-layer MLP, and instruction-tuned on the Flame-Code-VLM/Flame-Waterfall-React dataset.
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  This model is released to showcase the value of the synthesized dataset. However, it is not intended for general-purpose tasks. Please use it with caution.
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  ### Generation
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  The following is the sample code for inference.
 
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  input_ids,
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  images=image_tensor,
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  image_sizes=image_sizes,
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+ modalities=modalities, # Added this line with the modalities
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  do_sample=True,
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  num_beams=5,
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  temperature=0.1,