Instructions to use Shubham09/complete_Wav2Vec2_500 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shubham09/complete_Wav2Vec2_500 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Shubham09/complete_Wav2Vec2_500")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Shubham09/complete_Wav2Vec2_500") model = AutoModelForCTC.from_pretrained("Shubham09/complete_Wav2Vec2_500", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
pytorch_model.bin
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runs/Nov17_10-18-10_LP-5CD151LXC7/1668677842.1225126/events.out.tfevents.1668677842.LP-5CD151LXC7.4016.3
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