Update README.md

README.md

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 license: mit
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+
+# Pretrained Model of Amphion HiFi-GAN
+
+We provide the pre-trained checkpoint of [HiFi-GAN](https://github.com/open-mmlab/Amphion/tree/main/egs/tts/FastSpeech2) trained on LJSpeech, which consists of 13,100 short audio clips of a single speaker and has a total length of approximately 24 hours.
+
+
+## Quick Start
+
+To utilize the pre-trained models, just run the following commands:
+
+### Step1: Download the checkpoint
+```bash
+git lfs install
+git clone https://huggingface.co/amphion/hifigan_ljspeech
+```
+
+### Step2: Clone the Amphion's Source Code of GitHub
+```bash
+git clone https://github.com/open-mmlab/Amphion.git
+```
+
+### Step3: Specify the checkpoint's path
+Use the soft link to specify the downloaded checkpoint in the first step:
+
+```bash
+cd Amphion
+mkdir -p ckpts/tts
+ln -s  ../../../hifigan_ljspeech  ckpts/tts/
+```
+
+### Step4: Inference
+
+This HiFi-GAN Vocoder is pre-trained to support [Amphion FastSpeech 2](https://github.com/open-mmlab/Amphion/tree/main/egs/tts/FastSpeech2) to generate speech waveform from Mel spectrogram.
+You can follow the inference part of [this recipe](https://github.com/open-mmlab/Amphion/tree/main/egs/tts/FastSpeech2#4-inference) to generate speech. For example, if you want to synthesize a clip of speech with the text of "This is a clip of generated speech with the given text from a TTS model.", just, run:
+
+```bash
+
+sh egs/tts/FastSpeech2/run.sh --stage 3 \
+    --config ckpts/tts/fastspeech2_ljspeech/args.json \
+    --infer_expt_dir ckpts/tts/fastspeech2_ljspeech/ \
+    --infer_output_dir ckpts/tts/fastspeech2_ljspeech/results \
+    --infer_mode "single" \
+    --infer_text "This is a clip of generated speech with the given text from a TTS model." \
+    --vocoder_dir ckpts/vocoder/hifigan_ljspeech/checkpoints/ \
+```
+