Instructions to use Ansu/mHubert-basque-ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ansu/mHubert-basque-ASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Ansu/mHubert-basque-ASR")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Ansu/mHubert-basque-ASR") model = AutoModelForCTC.from_pretrained("Ansu/mHubert-basque-ASR") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 63840fc4a91d7f7f8141854c01fd4a2838c4e39bb67cbc18d96cb5ad3e19d958
- Size of remote file:
- 378 MB
- SHA256:
- f206f519ae99f11099a0af0f1c2d461b2680fb36a3941a6aa494ad7c1bae9c02
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