Instructions to use facebook/wav2vec2-large-slavic-voxpopuli-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/wav2vec2-large-slavic-voxpopuli-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="facebook/wav2vec2-large-slavic-voxpopuli-v2")# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("facebook/wav2vec2-large-slavic-voxpopuli-v2") model = AutoModelForPreTraining.from_pretrained("facebook/wav2vec2-large-slavic-voxpopuli-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2aa809267d20a5b3458a48533800daecb3f95d4addb8ca2ed6dd819b83089e6d
- Size of remote file:
- 1.27 GB
- SHA256:
- 823254a58e05e1d0e5815d705f275b2b53f770f977ab0b6c33b0b497b5407983
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