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StellaAthena authored Dec 2, 2022
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Expand Up @@ -280,6 +280,8 @@ Although this is not strictly necessary, we find it useful to define the model p

# Inference

**For most uses we recommend deploying models trained using the GPT-NeoX library via the HuggingFace Transformers library which is better optimized for inference.**

We support three types of generation from a pretrained model:
1. Unconditional generation
2. Conditional generation based on an input read from a file
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