Repository: huggingface/transformers
Pull request: [timesfm2_5] fix timesfm mlp bias

# What does this PR do?

The `CLIPMLP` has the bias set to True but timesFM 2.5 uses `bias=False` in the pretrained model

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Fixes # (issue)


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Changed files:
filename: src/transformers/models/timesfm2_5/modeling_timesfm2_5.py
patch: @@ -81,8 +81,8 @@ def __init__(self, config: TimesFm2_5Config):
         super().__init__()
         self.config = config
         self.activation_fn = ACT2FN[config.activation]
-        self.fc1 = nn.Linear(config.hidden_size, config.intermediate_size)
-        self.fc2 = nn.Linear(config.intermediate_size, config.hidden_size)
+        self.fc1 = nn.Linear(config.hidden_size, config.intermediate_size, bias=config.use_bias)
+        self.fc2 = nn.Linear(config.intermediate_size, config.hidden_size, bias=config.use_bias)
 
     def forward(self, hidden_states: torch.Tensor) -> torch.Tensor:
         hidden_states = self.fc1(hidden_states)

filename: src/transformers/models/timesfm2_5/modular_timesfm2_5.py
patch: @@ -222,6 +222,8 @@ class TimesFm2_5MLP(CLIPMLP):
     def __init__(self, config: TimesFm2_5Config):
         super().__init__()
         self.activation_fn = ACT2FN[config.activation]
+        self.fc1 = nn.Linear(config.hidden_size, config.intermediate_size, bias=config.use_bias)
+        self.fc2 = nn.Linear(config.intermediate_size, config.hidden_size, bias=config.use_bias)
 
 
 class TimesFm2_5ResidualBlock(TimesFmResidualBlock):