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:
- 1a3b226707299f34dc0bc2185f1dd3e5ef30c73420a5b7e6ca8873bc7a585ccb
- Size of remote file:
- 5.37 kB
- SHA256:
- 4e953155942b45abcfac5ba2b90e69d0c20231c36f6bbfe1f66ef877fd379cbf
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