Instructions to use scribe-project/wav2vec2-large-voxrex-300m-stortinget with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use scribe-project/wav2vec2-large-voxrex-300m-stortinget with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="scribe-project/wav2vec2-large-voxrex-300m-stortinget")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("scribe-project/wav2vec2-large-voxrex-300m-stortinget") model = AutoModelForCTC.from_pretrained("scribe-project/wav2vec2-large-voxrex-300m-stortinget") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 577627e1ca7401e1e60f7d0596431887a719c23f40c076fec6bd36844af5d518
- Size of remote file:
- 1.26 GB
- SHA256:
- f59f71007018aeb5ca7640846424a93efac73f3c6e3d30fa7610ed30ba4ca5b2
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