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| author | Roman Beltiukov <maybe.hello.world@gmail.com> | 2023-05-25 15:10:10 -0700 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2023-05-25 15:10:10 -0700 |
| commit | b2530c965c2afd5512c5f9020251fd4be8f067e5 (patch) | |
| tree | 0c1620e00ac4eddea514706a5c3bf3e03bd46c70 /modules/xlmr.py | |
| parent | 09d9c3d287ee4543d285e0fde8b81603c9751a7e (diff) | |
| parent | a6e653be26cc05f4438145fa0082816e9fbbf5fc (diff) | |
Merge branch 'dev' into master
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 |