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| author | AUTOMATIC1111 <16777216c@gmail.com> | 2023-05-17 09:26:26 +0300 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2023-05-17 09:26:26 +0300 |
| commit | 85232a5b26666854deae59cf950f744740dd5c37 (patch) | |
| tree | 3af76d8c6ba3173ffd925336d902da058df4e02d /modules/xlmr.py | |
| parent | 56a2672831751480f94a018f861f0143a8234ae8 (diff) | |
| parent | 4b07f2f584596604c4499efb0b0295e96985080f (diff) | |
Merge branch 'dev' into taesd-a
Diffstat (limited to 'modules/xlmr.py')
| -rw-r--r-- | modules/xlmr.py | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/modules/xlmr.py b/modules/xlmr.py index beab3fdf..a407a3ca 100644 --- a/modules/xlmr.py +++ b/modules/xlmr.py @@ -1,4 +1,4 @@ -from transformers import BertPreTrainedModel,BertModel,BertConfig +from transformers import BertPreTrainedModel, BertConfig import torch.nn as nn import torch from transformers.models.xlm_roberta.configuration_xlm_roberta import XLMRobertaConfig @@ -28,7 +28,7 @@ class BertSeriesModelWithTransformation(BertPreTrainedModel): config_class = BertSeriesConfig def __init__(self, config=None, **kargs): - # modify initialization for autoloading + # modify initialization for autoloading if config is None: config = XLMRobertaConfig() config.attention_probs_dropout_prob= 0.1 @@ -74,7 +74,7 @@ class BertSeriesModelWithTransformation(BertPreTrainedModel): text["attention_mask"] = torch.tensor( text['attention_mask']).to(device) features = self(**text) - return features['projection_state'] + return features['projection_state'] def forward( self, @@ -134,4 +134,4 @@ class BertSeriesModelWithTransformation(BertPreTrainedModel): class RobertaSeriesModelWithTransformation(BertSeriesModelWithTransformation): base_model_prefix = 'roberta' - config_class= RobertaSeriesConfig
\ No newline at end of file + config_class= RobertaSeriesConfig |