diff options
Diffstat (limited to 'modules/xlmr_m18.py')
| -rw-r--r-- | modules/xlmr_m18.py | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/modules/xlmr_m18.py b/modules/xlmr_m18.py index 18785692..a727e865 100644 --- a/modules/xlmr_m18.py +++ b/modules/xlmr_m18.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 @@ -80,7 +80,7 @@ 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, @@ -147,8 +147,8 @@ class BertSeriesModelWithTransformation(BertPreTrainedModel): "hidden_states": outputs.hidden_states, "attentions": outputs.attentions, } - - + + # return { # 'pooler_output':pooler_output, # 'last_hidden_state':outputs.last_hidden_state, @@ -161,4 +161,4 @@ class BertSeriesModelWithTransformation(BertPreTrainedModel): class RobertaSeriesModelWithTransformation(BertSeriesModelWithTransformation): base_model_prefix = 'roberta' - config_class= RobertaSeriesConfig
\ No newline at end of file + config_class= RobertaSeriesConfig |