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:
- 0ad90ee631c87bd13b3b9f45e12e4a644b466c48ccccd1a545e734222190774f
- Size of remote file:
- 1.06 kB
- SHA256:
- a58414831dcc48323d9d0e2d8107118282dd8a6c44d4b7e32d442de7860730e5
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