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0c0131f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 | import torch
import torch.nn as nn
from transformers import RobertaModel, RobertaConfig, PreTrainedModel
class RadBertForSequenceClassification(PreTrainedModel):
config_class = RobertaConfig
base_model_prefix = "model"
def __init__(self, config):
super().__init__(config)
num_labels = getattr(config, "num_labels", 2)
self.model = RobertaModel(config)
self.classifier = nn.Linear(config.hidden_size, num_labels)
self.post_init()
def forward(
self,
input_ids=None,
attention_mask=None,
token_type_ids=None,
**kwargs,
):
outputs = self.model(
input_ids=input_ids,
attention_mask=attention_mask,
token_type_ids=token_type_ids,
**kwargs,
)
pooled_output = outputs.pooler_output
if pooled_output is None:
pooled_output = outputs.last_hidden_state[:, 0]
return self.classifier(pooled_output) |