Instructions to use sharpcoder/wav2vec2_bjorn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sharpcoder/wav2vec2_bjorn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sharpcoder/wav2vec2_bjorn")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("sharpcoder/wav2vec2_bjorn") model = AutoModelForCTC.from_pretrained("sharpcoder/wav2vec2_bjorn") - Notebooks
- Google Colab
- Kaggle
Josh Cole commited on
Commit ·
a363672
1
Parent(s): 20c1366
refactor
Browse files
sharpcoder/wav2vec2_bjorn/config.json → config.json
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sharpcoder/wav2vec2_bjorn/preprocessor_config.json → preprocessor_config.json
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sharpcoder/wav2vec2_bjorn/pytorch_model.bin → pytorch_model.bin
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sharpcoder/wav2vec2_bjorn/training_args.bin → training_args.bin
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