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--- |
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license: gpl |
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language: |
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- en |
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datasets: |
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- Differentiable/processed_chats |
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tags: |
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- twitch |
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--- |
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# Description |
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This is my first attempt to simulate the Filian's Twitch stream chat based on scraped data. The model is a fine-tuning of GPT-Neo for 125M parameters. The model was able to be trained within 30 minutes on a GTX 1650 with Pytorch's memory pinning feature to share the local RAM with the GPU. |
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# Usage |
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Make sure to include the prefix "STREAMER: " at the end of the prompt or anywhere the response of the streamer is supposed to go. "Chat messages" are prepend with the "CHAT: " keyword. |
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In case the Hosted Inference API (text box on the side) gets too little text, just keep pressing "Compute" until the sentence ends. |
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## Prompt examples |
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``` |
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CHAT: You're cringe |
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CHAT: KEKW |
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STREAMER: |
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``` |
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``` |
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CHAT: Are you a Filipino boy? |
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STREAMER: |
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``` |
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``` |
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CHAT: Hello |
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CHAT: KEKW Filian is cringe |
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STREAMER: |
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``` |
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Using the keyword "STREAM TITLE" will attempt to replicate the name of a stream: |
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``` |
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STREAM TITLE: |
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``` |
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You can also induce the streamer to say something by adding a few words of your own at the beginning: |
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``` |
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STREAM: Today we will |
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``` |
