Model card: install from github.com/nyrahealth/PINT

README.md

@@ -23,7 +23,7 @@ A HuBERT-base encoder fine-tuned on parallel utterances (the same words from dif
 ## Usage
 
 ```bash
-pip install git+https://github.com/nyralabs/pint-infer
+pip install git+https://github.com/nyrahealth/PINT
 ```
 
 ```python
@@ -44,6 +44,8 @@ Methods: `kmeans_50`, `kmeans_100`, `kmeans_200`, `kmeans_250`, `kmeans_500`, `k
 | `kmeans_<k>.safetensors` | `(k, 768)` k-means cluster centers; assignment is nearest centroid |
 | `pint_config.json` | frame rate, codebook list |
 
+k=200 is the codebook size the paper evaluates; the other codebook sizes are provided for convenience.
+
 ## Intended use and limitations
 
 English speech. Input is converted to 16 kHz mono. Research and non-commercial use.