slplab
/

whisper-large_v2_test

Automatic Speech Recognition

Generated from Trainer

Inference Endpoints

Model card Files Files and versions Metrics Training metrics Community

slplab commited on Aug 14, 2023

Commit

7d0efeb

•

1 Parent(s): 853bb53

Update ffmpeg_handler.py

Files changed (1) hide show

ffmpeg_handler.py +1 -1

ffmpeg_handler.py CHANGED Viewed

@@ -17,7 +17,7 @@ class EndpointHandler:
         #processor = AutoProcessor.from_pretrained(path)
         #self.pipe = pipeline("automatic-speech-recognition", model=model, tokenizer=processor.feature_extractor, feature_extractor=processor.feature_extractor)
         #feature_extractor = WhisperFeatureExtractor.from_pretrained('openai/whisper-large')
-        self.pipe = pipeline(task='automatic-speech-recognition', model=path, device=)

         #processor = AutoProcessor.from_pretrained(path)
         #self.pipe = pipeline("automatic-speech-recognition", model=model, tokenizer=processor.feature_extractor, feature_extractor=processor.feature_extractor)
         #feature_extractor = WhisperFeatureExtractor.from_pretrained('openai/whisper-large')
+        self.pipe = pipeline(task='automatic-speech-recognition', model=path)