Instructions to use emon1521/wav2vec2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emon1521/wav2vec2-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="emon1521/wav2vec2-base")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("emon1521/wav2vec2-base") model = AutoModelForCTC.from_pretrained("emon1521/wav2vec2-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
pytorch_model.bin
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runs/Apr06_10-32-52_DESKTOP-5GECLH7/events.out.tfevents.1649219652.DESKTOP-5GECLH7.6376.0
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