Update README.md

README.md

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 license: mit
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+# BigVGAN-L
+The 24kHz model was pretrained using LibriTTS dataset with a full 100-band mel spectrogram as input (see ```config.json``` for the exact hyperparameter setup) with the [BigVGAN](https://github.com/NVIDIA/BigVGAN)
+repository. The pretraining was performed over 1300000 mln steps with a 100 batch size with 8 A100 40GB GPUs.
+
+# Inference
+The run the inference with the example command for generating audio from the model. It computes mel spectrograms using wav files from --input_wavs_dir and saves the generated audio to --output_dir.
+```
+python NEMO_PATH/inference.py \
+--checkpoint_file MODEL_PATH/BigVGAN-L/g_01300000.pt \
+--input_wavs_dir AUDIO_PATH/input_wav \
+--output_dir AUDIO_PATH/output_wav
+```
+
+# Continual finetuning
+The vocoder can be finetuned further on using the NEMO_PATH/train.py script as the checkpoints save all the optimizer information.