Clearer error for SDPA when explicitely requested (huggingface#28006)

* clearer error for sdpa

* better message

src/transformers/modeling_utils.py

@@ -1540,8 +1540,9 @@ def _check_and_enable_sdpa(cls, config, hard_check_only: bool = False) -> Pretra
         if hard_check_only:
             if not cls._supports_sdpa:
                 raise ValueError(
-                    f"{cls.__name__} does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please open an issue on GitHub to "
-                    "request support for this architecture: https://github.com/huggingface/transformers/issues/new"
+                    f"{cls.__name__} does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet."
+                    " Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe"
+                    ' this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation="eager"` meanwhile. Example: `model = AutoModel.from_pretrained("openai/whisper-tiny", attn_implementation="eager")`'
                 )
             if not is_torch_sdpa_available():
                 raise ImportError(