Update modeling_phi3.py

modeling_phi3.py

@@ -1,5 +1,5 @@
 # coding=utf-8
-# Copyright 2024 Microsoft and the HuggingFace Inc. team. All rights reserved.
+# Copyright 2024 swkimx97 and the HuggingFace Inc. team. All rights reserved.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -67,12 +67,12 @@ except ImportError as error:
             "Current `flash-attention` does not support `window_size`. Either upgrade or use `attn_implementation='eager'`."
         )
 
-_CHECKPOINT_FOR_DOC = "microsoft/Phi-3-mini-4k-instruct"
+_CHECKPOINT_FOR_DOC = "swkimx97/Phi-3-mini-4k-instruct"
 _CONFIG_FOR_DOC = "Phi3Config"
 
 PHI3_PRETRAINED_MODEL_ARCHIVE_LIST = [
-    "microsoft/Phi-3-mini-4k-instruct",
-    "microsoft/Phi-3-mini-128k-instruct",
+    "swkimx97/Phi-3-mini-4k-instruct",
+    "swkimx97/Phi-3-mini-128k-instruct",
     # See all Phi-3 models at https://huggingface.co/models?filter=Phi-3
 ]
 
@@ -1221,8 +1221,8 @@ class Phi3ForCausalLM(Phi3PreTrainedModel):
         ```python
         >>> from transformers import AutoTokenizer, Phi3ForCausalLM
 
-        >>> model = Phi3ForCausalLM.from_pretrained("microsoft/phi-3-mini-4k-instruct")
-        >>> tokenizer = AutoTokenizer.from_pretrained("microsoft/phi-3-mini-4k-instruct")
+        >>> model = Phi3ForCausalLM.from_pretrained("swkimx97/phi-3-mini-4k-instruct")
+        >>> tokenizer = AutoTokenizer.from_pretrained("swkimx97/phi-3-mini-4k-instruct")
 
         >>> prompt = "This is an example script ."
         >>> inputs = tokenizer(prompt, return_tensors="pt")
@@ -1560,4 +1560,4 @@ class Phi3ForTokenClassification(Phi3PreTrainedModel):
             logits=logits,
             hidden_states=model_outputs.hidden_states,
             attentions=model_outputs.attentions,
-        )
+        )