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import gradio as gr |
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theme = "darkgrass" |
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title = "GPT-J-6B Demo" |
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description = "Gradio Demo for GPT-J 6B, a Transformer model trained using Ben Wang's Mesh Transformer JAX. 'GPT-J' refers to the class of model, while '6B' represents the number of trainable parameters." |
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article = "<p style='text-align: center'><a href='https://github.com/kingoflolz/mesh-transformer-jax' target='_blank'>GPT-J-6B: A 6 Billion Parameter Autoregressive Language Model</a></p>" |
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examples = [ |
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['Narrativa is a NLP/NLG company that '], |
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["from transformers import AutoTokenizer"], |
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["- How are you?"] |
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] |
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gr.Interface.load("huggingface/EleutherAI/gpt-j-6B", inputs=gr.inputs.Textbox(lines=5, label="Input Text"), |
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theme=theme, title=title, description=description, article=article, examples=examples, enable_queue=True).launch() |
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