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(.nemo)`. * **Load Model Checkpoints**: if you'd like to load a checkpoint saved at ````, use the :code:`restore_from()` method below, where ```` is the model class of the original checkpoint. .. code-block:: python import nemo.collections.audio as nemo_audio model = nemo_audio.models..restore_from(restore_path="") 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..from_pretrained(model_name="") where ```` 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