more fixes

configuration_phi.py

@@ -23,8 +23,8 @@ from transformers.utils import logging
 logger = logging.get_logger(__name__)
 
 PHI_PRETRAINED_CONFIG_ARCHIVE_MAP = {
-    "microsoft/phi-1": "https://huggingface.co/susnato/phi-1_dev/resolve/main/config.json",
-    "microsoft/phi-1_5": "https://huggingface.co/susnato/phi-1_5_dev/resolve/main/config.json",
+    "microsoft/phi-1": "https://huggingface.co/microsoft/phi-1/resolve/main/config.json",
+    "microsoft/phi-1_5": "https://huggingface.co/microsoft/phi-1_5/resolve/main/config.json",
 }
 
 

modeling_phi.py

@@ -52,12 +52,12 @@ if is_flash_attn_2_available():
 
 logger = logging.get_logger(__name__)
 
-_CHECKPOINT_FOR_DOC = "susnato/phi-1_dev"
+_CHECKPOINT_FOR_DOC = "microsoft/phi-1"
 _CONFIG_FOR_DOC = "PhiConfig"
 
 PHI_PRETRAINED_MODEL_ARCHIVE_LIST = [
-    "susnato/phi-1_dev",
-    "susnato/phi-1_5_dev",
+    "microsoft/phi-1",
+    "microsoft/phi-1_5",
     # See all Phi models at https://huggingface.co/models?filter=phi
 ]
 
@@ -978,8 +978,8 @@ class PhiForCausalLM(PhiPreTrainedModel):
         ```python
         >>> from transformers import AutoTokenizer, PhiForCausalLM
 
-        >>> model = PhiForCausalLM.from_pretrained("susnato/phi-1_5_dev")
-        >>> tokenizer = AutoTokenizer.from_pretrained("susnato/phi-1_5_dev")
+        >>> model = PhiForCausalLM.from_pretrained("microsoft/phi-1_5")
+        >>> tokenizer = AutoTokenizer.from_pretrained("microsoft/phi-1_5")
 
         >>> prompt = "This is an example script ."
         >>> inputs = tokenizer(prompt, return_tensors="pt")