Update README.md

README.md

@@ -46,22 +46,27 @@ See the `eole` model configuration in this repository for further details.
 
 ## Usage with `quickmt`
 
-First, install `quickmt` and download the model
+You must install the Nvidia cuda toolkit first, if you want to do GPU inference.
+
+Next, install the `quickmt` [python library](github.com/quickmt/quickmt). 
 
 ```bash
 git clone https://github.com/quickmt/quickmt.git
 pip install ./quickmt/
-
-quickmt-model-download quickmt/quickmt-en-zh ./quickmt-en-zh
 ```
 
-Next use the model in python:
+Finally, use the model in python:
 
 ```python
 from quickmt import Translator
-
-# Auto-detects GPU, set to "cpu" to force CPU inference
-t = Translator("./quickmt-en-zh/", device="auto")
+from huggingface_hub import snapshot_download
+
+# Download Model (if not downloaded already) and return path to local model
+# Device is either 'auto', 'cpu' or 'cuda'
+t = Translator(
+    snapshot_download("quickmt/quickmt-en-zh", ignore_patterns="eole-model/*"),
+    device="cpu"
+)
 
 # Translate - set beam size to 5 for higher quality (but slower speed)
 t(["The Boot Monument is an American Revolutionary War memorial located in Saratoga National Historical Park in the state of New York."], beam_size=1)