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I downloaded the vocab, config and pytorch-model files from the hug website, stored them in a new hub folder in mmdetection and added them to the configs/glip/glip_atss_swin-t_fpn_dyhead_16xb2_ms-2x_f…
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Hello,
Same to #969
I was training a DistilBERT model on SageMaker instance using fast-bert. I am using the ml.p2.xlarge instance for GPU processing.
When the function downloads the trainin…
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tried installed from pip and source, both returned
` ImportError: cannot import name 'BertWordPieceTokenizer' ` on from fast_bert.data_cls
Please help!
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We ran one fast api on a machine on two different port. The API make socket connection to the bert.cpp socket server. In this only first app is connected and when second is started it just hangs after…
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## 집현전 최신반 스터디
- 2022년 6월 12일 일요일 10시
- 김진환님 김수연님 김보성님 발표
- 논문 링크: https://arxiv.org/abs/2004.02984
> ### Abstract
> Natural Language Processing (NLP) has recently achieved great success by usi…
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Hi,
I'm trying to test out fast-bert, and when I setup a train.csv file as follows:
index text label
0 test neg
2 test2 pos
tab seperated test file, I get the following error:
Traceback (m…
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How can i use the confusion matrix for each class and the other metrics in this link https://github.com/kaushaltrivedi/fast-bert/issues/17 ??
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I tired the same code in https://github.com/kaushaltrivedi/fast-bert/blob/master/test/multi_class.ipynb
there is an error when i run
learner = BertLearner.from_pretrained_model(databunch,pretrain…
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Thank you for creating a great repository.
I wonder why there is no bert when converting a pytorch model of MeloTTS to an Onnx model.
https://github.com/k2-fsa/sherpa-onnx/blob/963aaba82b01a425ae8…
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How to use bert-squad model to predict fastly or how to load once and predict multiple inputs.(Since it takes 25-30 sec for one single input)