| For instance, the [~transformers.AutomaticSpeechRecognitionPipeline] has a chunk_length_s parameter which is helpful | |
| for working on really long audio files (for example, subtitling entire movies or hour-long videos) that a model typically | |
| cannot handle on its own: | |
| thon | |
| transcriber = pipeline(model="openai/whisper-large-v2", chunk_length_s=30, return_timestamps=True) | |
| transcriber("https://huggingface.co/datasets/sanchit-gandhi/librispeech_long/resolve/main/audio.wav") | |
| {'text': " Chapter 16. |