lint

src/fairchem/core/models/equiformer_v2/equiformer_v2.py

@@ -642,7 +642,7 @@ def forward(self, data: Batch, emb: dict[str, torch.Tensor | GraphData]):
             return {"energy": energy / data.natoms}
         else:
             raise ValueError(f"agg_fn can only be sum or mean, user provided: {self.agg_fn}")
-        
+
 
 
 @registry.register_model("equiformer_v2_force_head")