Instructions to use techsword/wav2vec2-small-libri-scc-ft-ckp-10000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use techsword/wav2vec2-small-libri-scc-ft-ckp-10000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="techsword/wav2vec2-small-libri-scc-ft-ckp-10000")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("techsword/wav2vec2-small-libri-scc-ft-ckp-10000") model = AutoModel.from_pretrained("techsword/wav2vec2-small-libri-scc-ft-ckp-10000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Fine-tuned wav2vec2 checkpoint (10,000 steps) used in the wave-to-syntax probing experiments: https://github.com/techsword/wave-to-syntax
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