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/splinter/test_modeling_splinter.py

@@ -29,7 +29,6 @@ if is_torch_available():
     import torch
 
     from transformers import SplinterConfig, SplinterForPreTraining, SplinterForQuestionAnswering, SplinterModel
-    from transformers.models.splinter.modeling_splinter import SPLINTER_PRETRAINED_MODEL_ARCHIVE_LIST
 
 
 class SplinterModelTester:
@@ -328,9 +327,9 @@ class SplinterModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase
 
     @slow
     def test_model_from_pretrained(self):
-        for model_name in SPLINTER_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
-            model = SplinterModel.from_pretrained(model_name)
-            self.assertIsNotNone(model)
+        model_name = "tau/splinter-base"
+        model = SplinterModel.from_pretrained(model_name)
+        self.assertIsNotNone(model)
 
     # overwrite from common since `SplinterForPreTraining` could contain different number of question tokens in inputs.
     # When the batch is distributed to multiple devices, each replica could get different values for the maximal number