Add transformers usage

Bark will be added to Transformers pretty soon! It is now time to update the model cars to mention the HF implementation!

README.md

@@ -38,7 +38,61 @@ Use at your own risk.
 
 The following is additional information about the models released here. 
 
-## Model Usage
+## 🤗 Transformers Usage
+
+
+You can run Bark locally with the 🤗 Transformers library from version 4.31.0 onwards.
+
+1. First install the 🤗 [Transformers library](https://github.com/huggingface/transformers) from main:
+
+```
+pip install git+https://github.com/huggingface/transformers.git
+```
+
+2. Run the following Python code to generate speech samples:
+
+```python
+from transformers import AutoProcessor, AutoModel
+
+
+processor = AutoProcessor.from_pretrained("suno/bark-small")
+model = AutoModel.from_pretrained("suno/bark-small")
+
+inputs = processor(
+    text=["Hello, my name is Suno. And, uh — and I like pizza. [laughs] But I also have other interests such as playing tic tac toe."],
+    return_tensors="pt",
+)
+
+speech_values = model.generate_speech(**inputs, do_sample=True)
+```
+
+3. Listen to the speech samples either in an ipynb notebook:
+
+```python
+from IPython.display import Audio
+
+sampling_rate = model.config.sample_rate
+Audio(speech_values.cpu().numpy().squeeze(), rate=sampling_rate)
+```
+
+Or save them as a `.wav` file using a third-party library, e.g. `scipy`:
+
+```python
+import scipy
+
+sampling_rate = model.config.sample_rate
+scipy.io.wavfile.write("bark_out.wav", rate=sampling_rate, data=speech_values.cpu().numpy().squeeze())
+```
+
+For more details on using the Bark model for inference using the 🤗 Transformers library, refer to the [Bark docs](https://huggingface.co/docs/transformers/model_doc/bark).
+
+## Suno Usage
+
+You can also run Bark locally through the original [Bark library]((https://github.com/suno-ai/bark):
+
+1. First install the [`bark` library](https://github.com/suno-ai/bark)
+
+3. Run the following Python code:
 
 ```python
 from bark import SAMPLE_RATE, generate_audio, preload_models
@@ -52,10 +106,10 @@ text_prompt = """
      Hello, my name is Suno. And, uh — and I like pizza. [laughs] 
      But I also have other interests such as playing tic tac toe.
 """
-audio_array = generate_audio(text_prompt)
+speech_array = generate_audio(text_prompt)
 
 # play text in notebook
-Audio(audio_array, rate=SAMPLE_RATE)
+Audio(speech_array, rate=SAMPLE_RATE)
 ```
 
 [pizza.webm](https://user-images.githubusercontent.com/5068315/230490503-417e688d-5115-4eee-9550-b46a2b465ee3.webm)