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app.py
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@@ -74,7 +74,7 @@ if __name__ == "__main__":
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An Open Bilingual Pre-Trained Model. [Visit our github repo](https://github.com/THUDM/GLM-130B)
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GLM-130B uses two different mask tokens: `[MASK]` for short blank filling and `[gMASK]` for left-to-right long text generation. When the input does not contain any MASK token, `[gMASK]` will be automatically appended to the end of the text. We recommend that you use `[MASK]` to try text fill-in-the-blank to reduce wait time (ideally within seconds without queuing).
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""")
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with gr.Row():
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An Open Bilingual Pre-Trained Model. [Visit our github repo](https://github.com/THUDM/GLM-130B)
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GLM-130B uses two different mask tokens: `[MASK]` for short blank filling and `[gMASK]` for left-to-right long text generation. When the input does not contain any MASK token, `[gMASK]` will be automatically appended to the end of the text. We recommend that you use `[MASK]` to try text fill-in-the-blank to reduce wait time (ideally within seconds without queuing).
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This demo is a raw language model without instruction fine-tuning (which is applied to Flan-* series) and RLHF (which is applied to ChatGPT). It's ability is roughly between OpenAI `davinci` and `text-davinci-001`.
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""")
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with gr.Row():
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