[generate] clarify docstrings: when to inherit GenerationMixin

src/transformers/generation/utils.py

@@ -344,7 +344,22 @@ class GenerateBeamEncoderDecoderOutput(ModelOutput):
 
 class GenerationMixin:
     """
-    A class containing all functions for auto-regressive text generation, to be used as a mixin in [`PreTrainedModel`].
+    A class containing all functions for auto-regressive text generation, to be used as a mixin in model classes.
+    Inheriting from this class causes the model to have special generation-related behavior, such as loading a
+    `GenerationConfig` at initialization time or ensuring `generate`-related tests are run in `transformers` CI.
+
+    A model class should inherit from `GenerationMixin` to enable calling methods like `generate`, or when it
+    has defined a custom `generate` method that relies on `GenerationMixin`, directly or indirectly, which
+    approximately shares the same interface to public methods like `generate`. Three examples:
+        - `LlamaForCausalLM` should inherit from `GenerationMixin` to enable calling `generate` and other public
+            methods in the mixin;
+        - `BlipForQuestionAnswering` has a custom `generate` method that approximately shares the same interface as
+           `GenerationMixin.generate` (it has a few extra arguments, and the same output). That function also calls
+           `GenerationMixin.generate` indirectly, through an inner model. As such, `BlipForQuestionAnswering` should
+           inherit from `GenerationMixin` to benefit from all generation-related automation in our codebase;
+        - `BarkModel` has a custom `generate` method and one of its inner models calls `GenerationMixin.generate`.
+            However, its `generate` does not share the same interface as `GenerationMixin.generate`. In this case,
+            `BarkModel` shoud NOT inherit from `GenerationMixin`, as it breaks the `generate` interface.
 
     The class exposes [`~generation.GenerationMixin.generate`], which can be used for:
         - *greedy decoding* if `num_beams=1` and `do_sample=False`

src/transformers/modeling_utils.py

@@ -1739,6 +1739,9 @@ def can_generate(cls) -> bool:
         """
         Returns whether this model can generate sequences with `.generate()` from the `GenerationMixin`.
 
+        Under the hood, on classes where this function returns True, some generation-specific changes are triggered:
+        for instance, the model instance will have a populated `generation_config` attribute.
+
         Returns:
             `bool`: Whether this model can generate sequences with `.generate()`.
         """