Instructions to use yingqin/wav2vec2-base-timit-eng with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yingqin/wav2vec2-base-timit-eng with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="yingqin/wav2vec2-base-timit-eng")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("yingqin/wav2vec2-base-timit-eng") model = AutoModelForCTC.from_pretrained("yingqin/wav2vec2-base-timit-eng") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#1 opened over 2 years ago
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librarian-bot