chore: import upstream snapshot with attribution

docs/source/audio/checkpoints.rst

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+Checkpoints
+===========
+
+There are two main ways to load pretrained checkpoints in NeMo:
+
+* Using the :code:`restore_from()` method to load a local checkpoint file (``.nemo``), or
+* Using the :code:`from_pretrained()` method to download and set up a checkpoint from the cloud.
+
+Note that these instructions are for loading fully trained checkpoints for evaluation or fine-tuning. For resuming an unfinished
+training experiment, use the Experiment Manager to do so by setting the ``resume_if_exists`` flag to ``True``.
+
+Local Checkpoints
+-------------------------
+
+* **Save Model Checkpoints**: NeMo automatically saves final model checkpoints with ``.nemo`` suffix. You could also manually save any model checkpoint using :code:`model.save_to(<checkpoint_path>.nemo)`.
+* **Load Model Checkpoints**: if you'd like to load a checkpoint saved at ``<path/to/checkpoint/file.nemo>``, use the :code:`restore_from()` method below, where ``<MODEL_BASE_CLASS>`` is the model class of the original checkpoint.
+
+.. code-block:: python
+
+    import nemo.collections.audio as nemo_audio
+    model = nemo_audio.models.<MODEL_BASE_CLASS>.restore_from(restore_path="<path/to/checkpoint/file.nemo>")
+
+Pretrained Checkpoints
+----------------------
+
+The table below in :ref:`checkpoints_audio_models` list part of available pre-trained audio processing models including speech processing, restoration and extraction.
+
+Load Model Checkpoints
+^^^^^^^^^^^^^^^^^^^^^^
+The models can be accessed via the :code:`from_pretrained()` method inside the audio model class. In general, you can load any of these models with code in the following format,
+
+.. code-block:: python
+
+    import nemo.collections.audio as nemo_audio
+    model = nemo_audio.models.<MODEL_BASE_CLASS>.from_pretrained(model_name="<MODEL_NAME>")
+
+where ``<MODEL_NAME>`` is the value in ``Model Name`` column in the tables in :ref:`checkpoints_audio_models`. These names are predefined in the each model's member function ``self.list_available_models()``. 
+
+
+.. _checkpoints_audio_models:
+
+Audio Models
+------------
+
+Speech Enhancement Models
+^^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. csv-table::
+   :file: data/checkpoints_se.csv
+   :align: left
+   :header-rows: 1
+
+SSL Models
+^^^^^^^^^^
+
+.. csv-table::
+   :file: data/checkpoints_ssl.csv
+   :align: left
+   :header-rows: 1