Instructions to use asini/wav2vec2-timit-demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asini/wav2vec2-timit-demo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="asini/wav2vec2-timit-demo")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("asini/wav2vec2-timit-demo") model = AutoModelForCTC.from_pretrained("asini/wav2vec2-timit-demo") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 3500
Browse files
pytorch_model.bin
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runs/Mar01_10-22-24_jake-a-01/events.out.tfevents.1646126610.jake-a-01.220873.0
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