Comments (2)
abelriboulot
commented on June 11, 2024
So it looks like huggingface has it now: https://huggingface.co/google/mt5-base which means you can use the code in there: https://github.com/abelriboulot/onnxt5/blob/master/examples/export_pretrained_model.py
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polly-morphism
commented on June 11, 2024
I am getting "You are using a model of type mt5 to instantiate a model of type t5. This is not supported for all configurations of models and can yield errors." - is it ok to use this code for mT5 models?
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Related Issues (16)
- int() argument must be a string , when running exemple. HOT 3
- Use OnnxRuntime IO Binding to improve GPU inference performance HOT 3
- quantized models HOT 1
- How to suppress output
- Inference time on gpu vs onnxt5-gpu HOT 1
- Running example "export_pretrained_model.py" as-is fails (See details) HOT 3
- cpu only inferencing
- Repeat variables assignment both
- Implement beam search HOT 2
- Can this be used with Flan-T5?
- Build a progress bar for the download of the initial files of the model
- Given model could not be parsed while creating inference session. Error message: Protobuf parsing failed. HOT 6
- Default T5 summary contains <extra_id_2>.<extra_id_3>.<extra_id_4> HOT 5
- Limit input ingestion to context length of the model
- Cosine similarity between embeddings HOT 7
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