SivilTaram commited on
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070423c
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1 Parent(s): 82a3472

Update app.py

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Files changed (1) hide show
  1. app.py +1 -15
app.py CHANGED
@@ -41,7 +41,7 @@ with gr.Blocks() as demo:
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  This repo is the offical demo space for [Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies](https://huggingface.co/papers/2407.13623). In summary, we show that when scaling up model size, increase vocabulary size too, but at a slower rate than other parameters.
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- ![Vocabulary Demo](https://huggingface.co/spaces/sail/scaling-with-vocab-demo/blob/main/figures/vocabulary_demo.png)
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  This tool is used to predict the optimal vocabulary size given the non-vocabulary parameters. We provide 3 ways for prediction:
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@@ -68,17 +68,3 @@ with gr.Blocks() as demo:
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  outputs=output_text
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  )
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  demo.launch()
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-
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- # import gradio as gr
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- # def update(name):
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- # return f"Welcome to Gradio, {name}!"
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-
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- # with gr.Blocks() as demo:
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- # gr.Markdown("Start typing below and then click **Run** to see the output.")
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- # with gr.Row():
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- # inp = gr.Textbox(placeholder="What is your name?")
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- # out = gr.Textbox()
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- # btn = gr.Button("Run")
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- # btn.click(fn=update, inputs=inp, outputs=out)
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-
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- # demo.launch()
 
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  This repo is the offical demo space for [Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies](https://huggingface.co/papers/2407.13623). In summary, we show that when scaling up model size, increase vocabulary size too, but at a slower rate than other parameters.
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+ ![Vocabulary Demo](https://huggingface.co/spaces/sail/scaling-with-vocab-demo/resolve/main/figures/vocabulary_demo.png)
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  This tool is used to predict the optimal vocabulary size given the non-vocabulary parameters. We provide 3 ways for prediction:
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  outputs=output_text
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  )
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  demo.launch()