Update README.md

README.md

@@ -1,3 +1,30 @@
 ---
-license: unknown
+license: mit
 ---
+# Model description
+
+This is EnCodecMAE, an audio feature extractor pretrained with masked language modelling to predict discrete targets generated by EnCodec, a neural audio codec. 
+For more details about the architecture and pretraining procedure, read the [paper](https://arxiv.org/abs/2309.07391).
+
+# Usage
+
+### 1) Clone the [EnCodecMAE library](https://github.com/habla-liaa/encodecmae):
+```
+git clone https://github.com/habla-liaa/encodecmae.git
+```
+
+### 2) Install it:
+
+```
+cd encodecmae
+pip install -e .
+```
+
+### 3) Extract embeddings in Python:
+
+``` python
+from encodecmae import load_model
+
+model = load_model('base', device='cuda:0')
+features = model.extract_features_from_file('gsc/bed/00176480_nohash_0.wav')
+```