Instructions to use facebook/wav2vec2-base-bg-voxpopuli-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/wav2vec2-base-bg-voxpopuli-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="facebook/wav2vec2-base-bg-voxpopuli-v2")# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("facebook/wav2vec2-base-bg-voxpopuli-v2") model = AutoModelForPreTraining.from_pretrained("facebook/wav2vec2-base-bg-voxpopuli-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d356fee2559f8befe9e1027ebdd8c17d2fa0d5544f5322f045bcacd598acfc3d
- Size of remote file:
- 380 MB
- SHA256:
- d316c3eec80b9e3d34c9450cb88b40ca93b202a3c9c49ad41aa5b0a81dff9bc8
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