Point to Gemma 4 model in Gemma4ForCausalLM docstring example (#47255)

Point to gemma 4 model in Gemma4ForCausalLM docstring example

Author: lefft

src/transformers/models/gemma4/modeling_gemma4.py

@@ -1866,8 +1866,8 @@ def forward(
         ```python
         >>> from transformers import AutoTokenizer, Gemma4ForCausalLM
 
-        >>> model = Gemma4ForCausalLM.from_pretrained("google/gemma-2-9b")
-        >>> tokenizer = AutoTokenizer.from_pretrained("google/gemma-2-9b")
+        >>> model = Gemma4ForCausalLM.from_pretrained("google/gemma-4-E2B-it")
+        >>> tokenizer = AutoTokenizer.from_pretrained("google/gemma-4-E2B-it")
 
         >>> prompt = "What is your favorite condiment?"
         >>> inputs = tokenizer(prompt, return_tensors="pt")

src/transformers/models/gemma4/modular_gemma4.py

@@ -1597,8 +1597,8 @@ def forward(
         ```python
         >>> from transformers import AutoTokenizer, Gemma4ForCausalLM
 
-        >>> model = Gemma4ForCausalLM.from_pretrained("google/gemma-2-9b")
-        >>> tokenizer = AutoTokenizer.from_pretrained("google/gemma-2-9b")
+        >>> model = Gemma4ForCausalLM.from_pretrained("google/gemma-4-E2B-it")
+        >>> tokenizer = AutoTokenizer.from_pretrained("google/gemma-4-E2B-it")
 
         >>> prompt = "What is your favorite condiment?"
         >>> inputs = tokenizer(prompt, return_tensors="pt")