Instructions to use Shubham09/Whisper_wer_accuracy_precion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shubham09/Whisper_wer_accuracy_precion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Shubham09/Whisper_wer_accuracy_precion")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Shubham09/Whisper_wer_accuracy_precion") model = AutoModelForSpeechSeq2Seq.from_pretrained("Shubham09/Whisper_wer_accuracy_precion") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot