Instructions to use Shubham09/Lisa_Whisper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shubham09/Lisa_Whisper with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Shubham09/Lisa_Whisper")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Shubham09/Lisa_Whisper") model = AutoModelForSpeechSeq2Seq.from_pretrained("Shubham09/Lisa_Whisper", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
runs/Dec08_10-10-39_voiceVM/events.out.tfevents.1670494244.voiceVM.1277708.0
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