Apply ruff flake8-comprehensions (#21694)

examples/pytorch/language-modeling/run_clm.py

@@ -407,7 +407,7 @@ def main():
         )
     else:
         model = AutoModelForCausalLM.from_config(config)
-        n_params = sum(dict((p.data_ptr(), p.numel()) for p in model.parameters()).values())
+        n_params = sum({p.data_ptr(): p.numel() for p in model.parameters()}.values())
         logger.info(f"Training new model from scratch - Total size={n_params/2**20:.2f}M params")
 
     # We resize the embeddings only when necessary to avoid index errors. If you are creating a model from scratch