Datasets:

raianand
/

TIE_shorts

Tasks:

Automatic Speech Recognition

Modalities:

Formats:

Languages:

Size:

Libraries:

License:

Dataset card Viewer Files Files and versions Community

raianand commited on Nov 16, 2024

Commit

57d6936

·

verified ·

1 Parent(s): cc8bea5

Update README.md

Files changed (1) hide show

README.md +0 -2

README.md CHANGED Viewed

@@ -144,8 +144,6 @@ from transformers import WhisperProcessor, WhisperForConditionalGeneration
 processor = WhisperProcessor.from_pretrained("openai/whisper-base")
 model = WhisperForConditionalGeneration.from_pretrained("openai/whisper-base")
 sample = tie_shorts_test[0]["audio"]
 input_features = processor(sample["array"], sampling_rate=sample["sampling_rate"], return_tensors="pt").input_features

 processor = WhisperProcessor.from_pretrained("openai/whisper-base")
 model = WhisperForConditionalGeneration.from_pretrained("openai/whisper-base")
 sample = tie_shorts_test[0]["audio"]
 input_features = processor(sample["array"], sampling_rate=sample["sampling_rate"], return_tensors="pt").input_features