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25 Open 53 Closed
25 Open 53 Closed
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Issues list

control code
#85 opened Oct 21, 2022 by dedededefo
A transformer decoer-based model or seq2seq model?
#84 opened Apr 23, 2022 by zhaowei-wang-nlp
Cuda out of memory issue.
#83 opened Sep 1, 2021 by jamalabdul1
12 layer (huggingface gpt-2 equivalent) ctrl model?
#82 opened Jun 30, 2021 by zichaow
CTRL model can not work in huggingface transformers
#80 opened Apr 7, 2021 by yananchen1989
2
Issues with pytorch_generation.py when running the Colab exercise
#79 opened Jan 15, 2021 by yaw2014
Will BERT+transformer-decoder better than tensor2tensor for text-generation?
#77 opened Jul 10, 2020 by guotong1988
Altering the tone of the output
#76 opened May 10, 2020 by qdx45
Are control codes required for finetuning?
#75 opened May 10, 2020 by umhau
tips and scripts related to data collection
#74 opened Apr 24, 2020 by alvinchangw
1
Sampling method used for translation
#73 opened Apr 24, 2020 by MichaelZhouwang
License for pre-trained model
#72 opened Mar 27, 2020 by MobiusLooper
repeats the last word on AWS
#71 opened Mar 26, 2020 by dataSci-rigo
1
training curriculum used
#70 opened Feb 28, 2020 by v1nc3nt27
why set "seq_length = min(args.generate_num, 256)"
#68 opened Jan 21, 2020 by luweishuang
1
Source attribution - Cannot replicate results
#67 opened Jan 9, 2020 by sipity19
TPU configuration - fine tuning
#65 opened Dec 2, 2019 by pgrandinetti
Fine-tuning on Colab
#63 opened Nov 28, 2019 by manueltonneau
4
Is it possible to run CTRL (full) on Gradient?
#59 opened Nov 5, 2019 by ckoshka
❓ Question about testing procedure
#58 opened Nov 4, 2019 by astariul
Running the model on TPUs?
#55 opened Oct 25, 2019 by vessenes
2
benchmarking with GPT-2
#47 opened Oct 19, 2019 by leejason
2
Out of memory when fine-tuning
#43 opened Oct 14, 2019 by orenmelamud
9
How to finetuning with lower memory fp16 version for p100 GPUs?
#39 opened Oct 9, 2019 by xurongqiang
5
How to finetune on TPU v3-8 nodes? It runs without error but does not seem to progress.
#38 opened Oct 5, 2019 by eurka
5
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