Instructions to use bihungba1101/wav2vec2-base-timit-phoneme-demo-google-colab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bihungba1101/wav2vec2-base-timit-phoneme-demo-google-colab with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bihungba1101/wav2vec2-base-timit-phoneme-demo-google-colab")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("bihungba1101/wav2vec2-base-timit-phoneme-demo-google-colab") model = AutoModelForCTC.from_pretrained("bihungba1101/wav2vec2-base-timit-phoneme-demo-google-colab", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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