WARNING: Samples are unfiltered and may contain offensive content.
To generate unconditional samples from the small model:
python3 src/generate_unconditional_samples.py | tee samples
There are various flags for controlling the samples:
python3 src/generate_unconditional_samples.py --top_k 40 --temperature 0.7 | tee samples
While we have not yet released GPT-2 itself, you can see some unconditional samples from it (with default settings of temperature 1 and no truncation) in gpt2-samples.txt.
Conditional sample generation
To give the model custom prompts, you can use:
python3 src/interactive_conditional_samples.py
Future work
We may release code for evaluating the models on various benchmarks.
We are still considering release of the larger models.