Comments (1)
Solved: repalce the pip with conda environment.
Here is the key packages:
torch 1.8.0
cudatoolkits 10.2
And my cuda version is 11.2.
from prefixtuning.
Related Issues (20)
- About the evaluation scripts HOT 4
- Understanding the Seq2Seq Encoder-Decoder Prefix Implementation HOT 11
- Use --init_shallow_word for seq2seq model HOT 1
- Hi, What do function names get_prompt_p3,5,7 ... mean?
- AttributeError: 'tuple' object has no attribute 'detach'
- Should've mentioned about "CRITICAL" modifications done in transformers source code
- notation typo in the paper
- question about the initialization experiment
- Is it necessary to arrange position ids between [prefix_len, prefix_len+seq_len) ? HOT 2
- control code is not used in PrefixTuning.get_prompt() HOT 3
- Data preparation step HOT 1
- Which version of the Transformers did you modify? v3.2.0? HOT 4
- How to do inference with prefix tuning?
- Question: Do we need a supervised dataset with X & Y pairs?
- This is a relatively bad project because some strange packages were used
- License
- Data issue and file location query HOT 1
- which paper is the first one to propose soft prompt
- Need to update many things in the repository.
- 这个代码有没有集成到流行的代码仓里面啊
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from prefixtuning.