Related Issues (20)
- Using ctrl for summarization HOT 2
- TPU configuration - fine tuning
- Is that a way to do "general" generation? HOT 1
- Source attribution - Cannot replicate results
- why set "seq_length = min(args.generate_num, 256)" HOT 1
- training curriculum used
- repeats the last word on AWS HOT 1
- License for pre-trained model
- Sampling method used for translation
- tips and scripts related to data collection HOT 1
- Are control codes required for finetuning?
- Will BERT+transformer-decoder better than tensor2tensor for text-generation?
- control code not recognised HOT 2
- Issues with pytorch_generation.py when running the Colab exercise
- CTRL model can not work in huggingface transformers HOT 2
- 12 layer (huggingface gpt-2 equivalent) ctrl model?
- Cuda out of memory issue.
- A transformer decoer-based model or seq2seq model?
- control code
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from ctrl.