TF port of ESM (#19587)

* Partial TF port for ESM model

* Add ESM-TF tests

* Add the various imports for TF-ESM

* TF weight conversion almost ready

* Stop ignoring the decoder weights in PT

* Add tests and lots of fixes

* fix-copies

* Fix imports, add model docs

* Add get_vocab() to tokenizer

* Fix vocab links for pretrained files

* Allow multiple inputs with a sep

* Use EOS as SEP token because ESM vocab lacks SEP

* Correctly return special tokens mask from ESM tokenizer

* make fixup

* Stop testing unsupported embedding resizing

* Handle TF bias correctly

* Skip all models with slow tokenizers in the token classification test

* Fixing the batch/unbatcher of pipelines to accomodate the `None` being

passed around.

* Fixing pipeline bug caused by slow tokenizer  being different.

* Update src/transformers/models/esm/modeling_tf_esm.py

Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Update src/transformers/models/esm/modeling_tf_esm.py

Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Update src/transformers/models/esm/modeling_tf_esm.py

Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Update set_input_embeddings and the copyright notices

Co-authored-by: Your Name <you@example.com>
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

docs/source/en/model_doc/esm.mdx

@@ -107,3 +107,23 @@ and [Matt](https://huggingface.co/Rocketknight1).
 
 [[autodoc]] EsmForTokenClassification
     - forward
+
+## TFEsmModel
+
+[[autodoc]] TFEsmModel
+    - call
+
+## TFEsmForMaskedLM
+
+[[autodoc]] TFEsmForMaskedLM
+    - call
+
+## TFEsmForSequenceClassification
+
+[[autodoc]] TFEsmForSequenceClassification
+    - call
+
+## TFEsmForTokenClassification
+
+[[autodoc]] TFEsmForTokenClassification
+    - call