Upload 3 files

modeling_florence2.py

@@ -2289,8 +2289,6 @@ class Florence2Seq2SeqLMOutput(ModelOutput):
             image_hidden_states of the model produced by the vision encoder
     """
 
-    loss: torch.FloatTensor = None
-    logits: torch.FloatTensor = None
     last_hidden_state: torch.FloatTensor = None
     past_key_values: Optional[Tuple[Tuple[torch.FloatTensor]]] = None
     decoder_hidden_states: Optional[Tuple[torch.FloatTensor, ...]] = None
@@ -2299,7 +2297,6 @@ class Florence2Seq2SeqLMOutput(ModelOutput):
     encoder_last_hidden_state: Optional[torch.FloatTensor] = None
     encoder_hidden_states: Optional[Tuple[torch.FloatTensor, ...]] = None
     encoder_attentions: Optional[Tuple[torch.FloatTensor, ...]] = None
-    image_hidden_states: Optional[Tuple[torch.FloatTensor, ...]] = None
 
 
 FLORENCE2_START_DOCSTRING = r"""
@@ -2530,7 +2527,7 @@ class Florence2ForConditionalGeneration(Florence2PreTrainedModel):
     def __init__(self, config: Florence2Config):
         super().__init__(config)
         assert config.vision_config.model_type == 'davit', 'only DaViT is supported for now'
-        # del config.vision_config.model_type
+        del config.vision_config.model_type
         self.vision_tower = DaViT.from_config(config=config.vision_config)
         # remove unused layers 
         del self.vision_tower.head