add usage

README.md

@@ -31,6 +31,22 @@ This quantizer was trained to provide discrete pseudo-labels that are resilient
 - **Algorithm:** K-Means
 - **Dataset:** [LibriSpeech](https://huggingface.co/datasets/librispeech_asr) (`train-clean-100`)
 
+## Usage
+
+### Download the Model
+
+```python
+from huggingface_hub import hf_hub_download
+
+model_path = hf_hub_download(repo_id="iliasslasri/robust_speech_quantizer", 
+                              filename="500_vocab_size/round_1/E1_best.pt",
+                              force_download=True)
+config_path = hf_hub_download(repo_id="iliasslasri/robust_speech_quantizer", 
+                               filename="500_vocab_size/round_1/config.yaml",
+                               force_download=True)
+```
+
+
 ## Relevant Links
 - Original Paper: [Augmentation Invariant Discrete Representation for Generative Spoken Language Modeling (Gat et al., 2023)](https://aclanthology.org/2023.iwslt-1.46/)
 - Project Repository: [github](https://github.com/iliasslasri/snlp_project)