Update README.md

README.md

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 ---
 license: mit
+language:
+- en
+library_name: mlx
+pipeline_tag: text-to-speech
+tags:
+- nlp
+- tts
+- bark
 ---
+
+## Model Summary
+
+Bark is a transformer based text-to-audio model that can generate speech and miscellaneous audio i.e. background noise / music.
+
+This is a port of Suno's Bark model in Apple's ML Framework, MLX. The intention of the port is to explore the potential in making fast on-device TTS inference possible.
+
+This repository contains the Bark weights in `npz` format suitable for use with Apple's MLX Framework.
+
+## Usage
+
+```bash
+# Setup
+pip install transformers huggingface_hub hf_transfer
+git clone https://github.com/j-csc/mlx_bark
+cd mlx_bark
+pip install -r requirements.txt
+
+# Download model
+export HF_HUB_ENABLE_HF_TRANSFER=1
+huggingface-cli download --local-dir-use-symlinks False --local-dir weights/ mlx-community/mlx_bark
+
+# Run example (large model)
+python model.py --text="Hello world!" --path weights/ --model large