Instructions to use light-lps/wav2vec2-timit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use light-lps/wav2vec2-timit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="light-lps/wav2vec2-timit")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("light-lps/wav2vec2-timit") model = AutoModelForCTC.from_pretrained("light-lps/wav2vec2-timit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500
Browse files
model.safetensors
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runs/Apr24_19-52-43_d899ceb25b10/events.out.tfevents.1713988482.d899ceb25b10.159.0
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