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import gradio as gr
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title = "GPT-J-6B"
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description = "Gradio Demo for GPT-J 6B, a transformer model trained \
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using Ben Wang's Mesh Transformer JAX. 'GPT-J' refers to the class of \
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model, while '6B' represents the number of trainable parameters. \
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To use it, simply add your text, or click one of the examples to load them. \
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I've used the API on this Space to deploy the GPT-J-6B model on a Telegram bot. \
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Link to blog post below 👇"
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article = "<p style='text-align: center'> \
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<a href='https://dicksonneoh.com/portfolio/deploy_gpt_hf_models_on_telegram/' \
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target='_blank'>Blog post</a></p>"
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examples = [
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['The tower is 324 metres (1,063 ft) tall,'],
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["The Moon's orbit around Earth has"],
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["The smooth Borealis basin in the Northern Hemisphere covers 40%"]
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]
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gr.Interface.load("huggingface/EleutherAI/gpt-j-6B",
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inputs=gr.inputs.Textbox(lines=5, label="Input Text"),
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title=title,description=description,
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article=article,
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examples=examples,
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enable_queue=True).launch()
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