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| author | AUTOMATIC <16777216c@gmail.com> | 2023-05-27 20:13:26 +0300 |
|---|---|---|
| committer | AUTOMATIC <16777216c@gmail.com> | 2023-05-27 20:13:26 +0300 |
| commit | 50906bf78bce9cdb872a56d498000316ec2dfdcd (patch) | |
| tree | 5811cd211f383f759120c80ed266ed0b1befbaf0 /modules/xlmr.py | |
| parent | 89f9faa63388756314e8a1d96cf86bf5e0663045 (diff) | |
| parent | b186045fee0d384addcdc2a759fd33dba51b070e (diff) | |
Merge branch 'release_candidate'
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 |