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Issue of bert_model
arg in run_classify.py
#45
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Hi, please read this section of the readme. |
xloem
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* Update trainer and model flows to accommodate sparseml Disable FP16 on QAT start (huggingface#12) * Override LRScheduler when using LRModifiers * Disable FP16 on QAT start * keep wrapped scaler object for training after disabling Using QATMatMul in DistilBERT model class (huggingface#41) Removed double quantization of output of context layer. (huggingface#45) Fix DataParallel validation forward signatures (huggingface#47) * Fix: DataParallel validation forward signatures * Update: generalize forward_fn selection Best model after epoch (huggingface#46) fix sclaer check for non fp16 mode in trainer (huggingface#38) Mobilebert QAT (huggingface#55) * Remove duplicate quantization of vocabulary. enable a QATWrapper for non-parameterized matmuls in BERT self attention (huggingface#9) * Utils and auxillary changes update Zoo stub loading for SparseZoo 1.1 refactor (huggingface#54) add flag to signal NM integration is active (huggingface#32) Add recipe_name to file names * Fix errors introduced in manual cherry-pick upgrade Co-authored-by: Benjamin Fineran <bfineran@users.noreply.github.com>
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Hi,
I am trying to understand the
bert_model
arg inrun_classify.py
. In the file, I can seewhere
bert_model
is expected to be the vocab text file of the modelHowever, I also see
where
bert_model
is expected to be a archive file containing the model checkpoint and config.Please help to advice the correct use of
bert_model
if I have my pretrained model converted locally already.Thanks!
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