add processing file

src/transformers/models/__init__.py

@@ -107,6 +107,7 @@ if TYPE_CHECKING:
     from .fastspeech2_conformer import *
     from .flaubert import *
     from .flava import *
+    from .florence2 import *
     from .fnet import *
     from .focalnet import *
     from .fsmt import *

src/transformers/models/florence2/__init__.py

@@ -20,6 +20,7 @@ from ...utils.import_utils import define_import_structure
 if TYPE_CHECKING:
     from .configuration_florence2 import *
     from .modeling_florence2 import *
+    from .processing_florence2 import *
 else:
     import sys
 

src/transformers/models/florence2/modeling_florence2.py

@@ -520,7 +520,7 @@ def _trunc_normal_(tensor, mean, std, a, b):
 
 
 def trunc_normal_(tensor, mean=0.0, std=1.0, a=-2.0, b=2.0):
-    # type: (Tensor, float, float, float, float) -> Tensor
+    # type: (torch.Tensor, float, float, float, float) -> torch.Tensor
     r"""Fills the input Tensor with values drawn from a truncated
     normal distribution. The values are effectively drawn from the
     normal distribution :math:`\mathcal{N}(\text{mean}, \text{std}^2)`