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M2M100 to ONNX #61
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I am currently trying to, with slight modifications, apply fastT5 to M2M100. While the conversion itself is working like a charm, I am getting a lot of
errors during quantization. After some research I dug up multiple colabs that are simply ignoring this warning. Is any treatment necessary and are there known ways to handle it?
Apart from that: do you plan on expanding this repo to different models (for example in different branches) or do you rather want forks that provide support for other models?
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