Comments (6)
@pttzty you could modify this file to export weight from FairSeq or OpenNMT, and pass the weight file to python API easily. Also, we will consider updating more examples for different training toolkit
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@Taka152 Thanks, I will see if there is a straight forward mapping that I can convert
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@Taka152 i can't find an example with topk sampling, and don't know how to set the parameters, can you help?
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@q2044757581 check here to use top-k sampling, generation_method="topk"
and topk=4
means top-4 sampling on huggingface bart model. In detail, this parameter is stored here that will be passed to LightSeq c++ backend
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@Taka152 does lightseq support T5 model?
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@Taka152 does lightseq support T5 model?
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Related Issues (20)
- lightseq' Transformer expects an extra layer_norm on both encoder and decoder level
- LLaMA example 结果验证
- 请问lightseq在推理流程中有gemm调参这一步吗?
- Is llama inference available now? HOT 1
- Do you have plans to support token_type_ids?
- llama inference test HOT 3
- 请问lightseq可以支持segmentAnyting的推理优化吗 HOT 1
- 为什么连给的example也有bug? HOT 4
- [Question] gptj, mpt support.
- question about environment
- how to resolve xlm-roberta convert fail
- Can int8 in pre-training large model ???
- lightseq是否支持clip模型的int8量化?
- Is it normal that A10 inference speed is lower than 2080ti? HOT 1
- identifier "__hisnan" is undefined HOT 4
- 要求C++ 17 HOT 1
- Exception: Installed CUDA version 12.3 does not match the version torch was compiled with 12.1, unable to compile cuda/cpp extensions without a matching cuda version.
- 参数格式不对args format wrong
- is Baichuan2 model inference available now?
- [FeedBack][1.0.8][com.miniclip.eightballpool]- HOT 4
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