Upload modeling_beacon.py with huggingface_hub

modeling_beacon.py

@@ -244,7 +244,7 @@ class Memory(torch.nn.Module):
                     beacon_ratio = beacon_ratio[minimum_length_index]
                 else:
                     beacon_ratio = max(beacon_ratio)
-                    logger.warning(f"Failed to find valid fold window and size for sequence length {sequence_length}, as the maximum theoretical length is {max(max_lengths)}. Fall back to use the maximum one: {beacon_ratio}.")
+                    # logger.warning(f"Failed to find valid fold window and size for sequence length {sequence_length}, as the maximum theoretical length is {max(max_lengths)}. Fall back to use the maximum one: {beacon_ratio}.")
                 self._ratio = beacon_ratio
             else:
                 beacon_ratio = self._ratio