feat: pass --hf_token to WhisperModel for gated model support

Forward the existing --hf_token CLI argument to faster-whisper's
WhisperModel via a new use_auth_token parameter on load_model(),
enabling downloads of gated/private HuggingFace models.

Author: Barabazs

whisperx/asr.py

@@ -314,6 +314,7 @@ def load_model(
     download_root: Optional[str] = None,
     local_files_only=False,
     threads=4,
+    use_auth_token: Optional[Union[str, bool]] = None,
 ) -> FasterWhisperPipeline:
     """Load a Whisper model for inference.
     Args:
@@ -341,7 +342,8 @@ def load_model(
                          compute_type=compute_type,
                          download_root=download_root,
                          local_files_only=local_files_only,
-                         cpu_threads=threads)
+                         cpu_threads=threads,
+                         use_auth_token=use_auth_token)
     if language is not None:
         tokenizer = Tokenizer(model.hf_tokenizer, model.model.is_multilingual, task=task, language=language)
     else:

whisperx/transcribe.py

@@ -141,6 +141,7 @@ def transcribe_task(args: dict, parser: argparse.ArgumentParser):
         task=task,
         local_files_only=model_cache_only,
         threads=faster_whisper_threads,
+        use_auth_token=hf_token,
     )
 
     for audio_path in args.pop("audio"):