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/gptj/test_modeling_gptj.py

@@ -40,7 +40,6 @@ if is_torch_available():
     import torch
 
     from transformers import (
-        GPTJ_PRETRAINED_MODEL_ARCHIVE_LIST,
         AutoTokenizer,
         GPTJForCausalLM,
         GPTJForQuestionAnswering,
@@ -524,9 +523,9 @@ class GPTJModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixin
 
     @slow
     def test_model_from_pretrained(self):
-        for model_name in GPTJ_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
-            model = GPTJModel.from_pretrained(model_name, revision="float16", torch_dtype=torch.float16)
-            self.assertIsNotNone(model)
+        model_name = "EleutherAI/gpt-j-6B"
+        model = GPTJModel.from_pretrained(model_name, revision="float16", torch_dtype=torch.float16)
+        self.assertIsNotNone(model)
 
     @require_flash_attn
     @require_torch_gpu