Instructions to use modhp/wav2vec2-model1-torgo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use modhp/wav2vec2-model1-torgo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="modhp/wav2vec2-model1-torgo")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("modhp/wav2vec2-model1-torgo") model = AutoModelForCTC.from_pretrained("modhp/wav2vec2-model1-torgo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
add tokenizer
Browse files
runs/Apr04_20-51-37_TUF/1649130764.8450022/events.out.tfevents.1649130764.TUF.17844.1
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