Docs: add model paths (#28475)

src/transformers/models/deprecated/open_llama/modeling_open_llama.py

@@ -730,8 +730,8 @@ class OpenLlamaForCausalLM(OpenLlamaPreTrainedModel):
         ```python
         >>> from transformers import AutoTokenizer, OpenLlamaForCausalLM
 
-        >>> model = OpenLlamaForCausalLM.from_pretrained(PATH_TO_CONVERTED_WEIGHTS)
-        >>> tokenizer = AutoTokenizer.from_pretrained(PATH_TO_CONVERTED_TOKENIZER)
+        >>> model = OpenLlamaForCausalLM.from_pretrained("openlm-research/open_llama_7b")
+        >>> tokenizer = AutoTokenizer.from_pretrained("openlm-research/open_llama_7b")
 
         >>> prompt = "Hey, are you conscious? Can you talk to me?"
         >>> inputs = tokenizer(prompt, return_tensors="pt")

src/transformers/models/idefics/modeling_idefics.py

@@ -1492,8 +1492,8 @@ class IdeficsForVisionText2Text(IdeficsPreTrainedModel):
         ```python
         >>> from transformers import AutoTokenizer, IdeficsForVisionText2Text
 
-        >>> model = IdeficsForVisionText2Text.from_pretrained(PATH_TO_CONVERTED_WEIGHTS)
-        >>> tokenizer = AutoTokenizer.from_pretrained(PATH_TO_CONVERTED_TOKENIZER)
+        >>> model = IdeficsForVisionText2Text.from_pretrained("HuggingFaceM4/idefics-9b")
+        >>> tokenizer = AutoTokenizer.from_pretrained("HuggingFaceM4/idefics-9b")
 
         >>> prompt = "Hey, are you consciours? Can you talk to me?"
         >>> inputs = tokenizer(prompt, return_tensors="pt")

src/transformers/models/llama/modeling_llama.py

@@ -1162,8 +1162,8 @@ class LlamaForCausalLM(LlamaPreTrainedModel):
         ```python
         >>> from transformers import AutoTokenizer, LlamaForCausalLM
 
-        >>> model = LlamaForCausalLM.from_pretrained(PATH_TO_CONVERTED_WEIGHTS)
-        >>> tokenizer = AutoTokenizer.from_pretrained(PATH_TO_CONVERTED_TOKENIZER)
+        >>> model = LlamaForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf")
+        >>> tokenizer = AutoTokenizer.from_pretrained("meta-llama/Llama-2-7b-hf")
 
         >>> prompt = "Hey, are you conscious? Can you talk to me?"
         >>> inputs = tokenizer(prompt, return_tensors="pt")

src/transformers/models/mistral/modeling_mistral.py

@@ -1132,8 +1132,8 @@ class MistralForCausalLM(MistralPreTrainedModel):
         ```python
         >>> from transformers import AutoTokenizer, MistralForCausalLM
 
-        >>> model = MistralForCausalLM.from_pretrained(PATH_TO_CONVERTED_WEIGHTS)
-        >>> tokenizer = AutoTokenizer.from_pretrained(PATH_TO_CONVERTED_TOKENIZER)
+        >>> model = MistralForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1")
+        >>> tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-v0.1")
 
         >>> prompt = "Hey, are you conscious? Can you talk to me?"
         >>> inputs = tokenizer(prompt, return_tensors="pt")

src/transformers/models/mixtral/modeling_mixtral.py

@@ -1291,8 +1291,8 @@ class MixtralForCausalLM(MixtralPreTrainedModel):
         ```python
         >>> from transformers import AutoTokenizer, MixtralForCausalLM
 
-        >>> model = MixtralForCausalLM.from_pretrained(PATH_TO_CONVERTED_WEIGHTS)
-        >>> tokenizer = AutoTokenizer.from_pretrained(PATH_TO_CONVERTED_TOKENIZER)
+        >>> model = MixtralForCausalLM.from_pretrained("mistralai/Mixtral-8x7B-v0.1")
+        >>> tokenizer = AutoTokenizer.from_pretrained("mistralai/Mixtral-8x7B-v0.1")
 
         >>> prompt = "Hey, are you conscious? Can you talk to me?"
         >>> inputs = tokenizer(prompt, return_tensors="pt")