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")# 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_20-13-23_TUF/1649128475.1413565/events.out.tfevents.1649128475.TUF.14200.1
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runs/Apr04_20-13-23_TUF/events.out.tfevents.1649128475.TUF.14200.0
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