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@ -31,11 +31,11 @@ pip3 install -r requirements.txt
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## Usage
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## Usage
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### Unconditional sample generation
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| WARNING: Samples are unfiltered and may contain offensive content. |
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| WARNING: Samples are unfiltered and may contain offensive content. |
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### Unconditional sample generation
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To generate unconditional samples from the small model:
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To generate unconditional samples from the small model:
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```
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```
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python3 src/generate_unconditional_samples.py | tee samples
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python3 src/generate_unconditional_samples.py | tee samples
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@ -54,6 +54,9 @@ python3 src/interactive_conditional_samples.py --top_k 40
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## GPT-2 samples
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## GPT-2 samples
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| WARNING: Samples are unfiltered and may contain offensive content. |
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While we have not yet released GPT-2 itself, you can see some samples from it in the `gpt-2-samples` folder.
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While we have not yet released GPT-2 itself, you can see some samples from it in the `gpt-2-samples` folder.
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We show unconditional samples with default settings (temperature 1 and no truncation), with temperature 0.7, and with truncation with top_k 40.
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We show unconditional samples with default settings (temperature 1 and no truncation), with temperature 0.7, and with truncation with top_k 40.
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We show conditional samples, with contexts drawn from `WebText`'s test set, with default settings (temperature 1 and no truncation), with temperature 0.7, and with truncation with top_k 40.
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We show conditional samples, with contexts drawn from `WebText`'s test set, with default settings (temperature 1 and no truncation), with temperature 0.7, and with truncation with top_k 40.
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