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:
- 2ddac3e61af34e462d92e76050d219f22baefbc4e5bdb6be220dd22eb7e8bb0c
- Size of remote file:
- 3.58 kB
- SHA256:
- eb4feab668afd3a5bf4abc4be1ecd1bfaab23a5fb84a9faa82433d4f99e57c2f
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