Remove static pretrained maps from the library's internals (#29112)

* [test_all] Remove static pretrained maps from the library's internals

* Deprecate archive maps instead of removing them

* Revert init changes

* [test_all] Deprecate instead of removing

* [test_all] PVT v2 support

* [test_all] Tests should all pass

* [test_all] Style

* Address review comments

* Update src/transformers/models/deprecated/_archive_maps.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/deprecated/_archive_maps.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* [test_all] trigger tests

* [test_all] LLAVA

* [test_all] Bad rebase

---------

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

tests/models/switch_transformers/test_modeling_switch_transformers.py

@@ -45,7 +45,6 @@ if is_torch_available():
         SwitchTransformersTop1Router,
     )
     from transformers.models.switch_transformers.modeling_switch_transformers import (
-        SWITCH_TRANSFORMERS_PRETRAINED_MODEL_ARCHIVE_LIST,
         load_balancing_loss_func,
         router_z_loss_func,
     )
@@ -670,9 +669,9 @@ class SwitchTransformersModelTest(ModelTesterMixin, GenerationTesterMixin, Pipel
 
     @slow
     def test_model_from_pretrained(self):
-        for model_name in SWITCH_TRANSFORMERS_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
-            model = SwitchTransformersModel.from_pretrained(model_name)
-            self.assertIsNotNone(model)
+        model_name = "google/switch-base-8"
+        model = SwitchTransformersModel.from_pretrained(model_name)
+        self.assertIsNotNone(model)
 
     @unittest.skip("Test has a segmentation fault on torch 1.8.0")
     def test_export_to_onnx(self):