Update gigaam_transformers.py

gigaam_transformers.py

@@ -321,7 +321,7 @@ class GigaAMProcessor(Wav2Vec2Processor):
 
 
 class GigaAMConfig(PretrainedConfig):
-    model_type = "gigaam-ctc"
+    model_type = None
 
     def __init__(self, **kwargs):
         super().__init__(**kwargs)
@@ -394,6 +394,7 @@ class GigaAMRNNTHF(PreTrainedModel):
             hidden_states = torch.zeros((self.config.head["decoder"]["pred_rnn_layers"], batch_size, self.model.head.decoder.pred_hidden), device=encoder_out.device)
             hidden_c = torch.zeros((self.config.head["decoder"]["pred_rnn_layers"], batch_size, self.model.head.decoder.pred_hidden), device=encoder_out.device)
             plus_one_dim = self.config.blank_id * torch.ones((batch_size, 1), dtype=torch.int32, device=encoder_out.device)
+            labels[labels < 0] = self.config.blank_id
             
             decoder_out, h, c = self.model.head.decoder(torch.cat((plus_one_dim, labels), dim=1), hidden_states, hidden_c)