This repository was archived by the owner on Oct 31, 2022. It is now read-only.
Added create_model.py to allow creation of model folder #71
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…ve LF line endings and all files stay unix on commit
Add note about setting PYTHONIOENCODING=UTF-8 env var for running examples
Example will `tee` stdout to `/tmp/samples` from conditional and unconditional generation scripts.
add description for flags
added python download script and modified requirements to add the modules needed. Tested in Windows Version 10.0.17134 Build 17134 and Ubuntu 18.04.1 LTS
This write-up was loosely inspired in part by Mitchell et al.’s work on [Model Cards for Model Reporting](https://arxiv.org/abs/1810.03993). Adding such model usage sections could be good practice in general for open source research projects with potentially broad applications.
This enables multi-GPU or distributed training using Horovod
…w training the 345M model.
Add toposort to requirements
…ional_samples.py.
Added the medium blog link "Beginner’s Guide to Retrain GPT-2 (117M) to Generate Custom Text Content"
Updated README.md
…f relevant files automatically
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This file automates the model folder and file copying required after user fine-tunes the model using their own custom dataset.
Usage:
python create_model.py -create mymodel -model 124M -run run2This will:
Now a user can simply generate samples using their own model:
python interactive_conditional_samples.py --model_name mymodel