Add "large" alias for "large-v2" model (#453)

faster_whisper/transcribe.py

@@ -92,7 +92,7 @@ class WhisperModel:
 
         Args:
           model_size_or_path: Size of the model to use (tiny, tiny.en, base, base.en,
-            small, small.en, medium, medium.en, large-v1, or large-v2), a path to a converted
+            small, small.en, medium, medium.en, large-v1, large-v2, or large), a path to a converted
             model directory, or a CTranslate2-converted Whisper model ID from the Hugging Face Hub.
             When a size or a model ID is configured, the converted model is downloaded
             from the Hugging Face Hub.

faster_whisper/utils.py

@@ -9,18 +9,19 @@ import requests
 
 from tqdm.auto import tqdm
 
-_MODELS = (
-    "tiny.en",
-    "tiny",
-    "base.en",
-    "base",
-    "small.en",
-    "small",
-    "medium.en",
-    "medium",
-    "large-v1",
-    "large-v2",
-)
+_MODELS = {
+    "tiny.en": "guillaumekln/faster-whisper-tiny.en",
+    "tiny": "guillaumekln/faster-whisper-tiny",
+    "base.en": "guillaumekln/faster-whisper-base.en",
+    "base": "guillaumekln/faster-whisper-base",
+    "small.en": "guillaumekln/faster-whisper-small.en",
+    "small": "guillaumekln/faster-whisper-small",
+    "medium.en": "guillaumekln/faster-whisper-medium.en",
+    "medium": "guillaumekln/faster-whisper-medium",
+    "large-v1": "guillaumekln/faster-whisper-large-v1",
+    "large-v2": "guillaumekln/faster-whisper-large-v2",
+    "large": "guillaumekln/faster-whisper-large-v2",
+}
 
 
 def get_assets_path():
@@ -41,12 +42,11 @@ def download_model(
 ):
     """Downloads a CTranslate2 Whisper model from the Hugging Face Hub.
 
-    The model is downloaded from https://huggingface.co/guillaumekln.
-
     Args:
-      size_or_id: Size of the model to download (tiny, tiny.en, base, base.en, small, small.en,
-        medium, medium.en, large-v1, or large-v2), or a CTranslate2-converted model ID
-        from the Hugging Face Hub (e.g. guillaumekln/faster-whisper-large-v2).
+      size_or_id: Size of the model to download from https://huggingface.co/guillaumekln
+        (tiny, tiny.en, base, base.en, small, small.en medium, medium.en, large-v1, large-v2,
+        large), or a CTranslate2-converted model ID from the Hugging Face Hub
+        (e.g. guillaumekln/faster-whisper-large-v2).
       output_dir: Directory where the model should be saved. If not set, the model is saved in
         the cache directory.
       local_files_only:  If True, avoid downloading the file and return the path to the local
@@ -62,14 +62,13 @@ def download_model(
     if re.match(r".*/.*", size_or_id):
         repo_id = size_or_id
     else:
-        if size_or_id not in _MODELS:
+        repo_id = _MODELS.get(size_or_id)
+        if repo_id is None:
             raise ValueError(
                 "Invalid model size '%s', expected one of: %s"
-                % (size_or_id, ", ".join(_MODELS))
+                % (size_or_id, ", ".join(_MODELS.keys()))
             )
 
-        repo_id = "guillaumekln/faster-whisper-%s" % size_or_id
-
     allow_patterns = [
         "config.json",
         "model.bin",