Instructions to use Shubham09/whisper63filescheck with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shubham09/whisper63filescheck with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Shubham09/whisper63filescheck", device_map="auto")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Shubham09/whisper63filescheck") model = AutoModelForSpeechSeq2Seq.from_pretrained("Shubham09/whisper63filescheck", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
runs/Nov29_05-09-14_voiceVM/events.out.tfevents.1669698564.voiceVM.379753.0
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