Need to logger.debug or it would be too noisy when loading in a Pipeline

stanza/models/lemma_classifier/lstm_model.py

@@ -91,13 +91,13 @@ def __init__(self, model_args, output_dim, pt_embedding, label_decoder, upos_to_
         if self.num_heads > 0:
             self.input_size = utils.round_up_to_multiple(self.input_size, self.num_heads)
             self.multihead_attn = nn.MultiheadAttention(embed_dim=self.input_size, num_heads=self.num_heads, batch_first=True).to(device)
-            logger.info(f"Using attention mechanism with embed dim {self.input_size} and {self.num_heads} attention heads.")
+            logger.debug(f"Using attention mechanism with embed dim {self.input_size} and {self.num_heads} attention heads.")
         else:
             self.lstm = nn.LSTM(self.input_size,
                                 self.hidden_dim,
                                 batch_first=True,
                                 bidirectional=True)
-            logger.info(f"Using LSTM mechanism.")
+            logger.debug(f"Using LSTM mechanism.")
 
         mlp_input_size = self.hidden_dim * 2 if self.num_heads == 0 else self.input_size
         self.mlp = nn.Sequential(