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
| { | |
| "[PAD]": 31, | |
| "[UNK]": 30, | |
| "a": 16, | |
| "b": 2, | |
| "c": 13, | |
| "d": 27, | |
| "e": 25, | |
| "f": 1, | |
| "g": 24, | |
| "h": 21, | |
| "i": 7, | |
| "j": 20, | |
| "k": 11, | |
| "l": 0, | |
| "m": 5, | |
| "n": 6, | |
| "o": 14, | |
| "p": 28, | |
| "q": 15, | |
| "r": 22, | |
| "s": 9, | |
| "t": 29, | |
| "u": 10, | |
| "v": 4, | |
| "w": 19, | |
| "x": 26, | |
| "y": 23, | |
| "z": 12, | |
| "|": 17, | |
| "±": 3, | |
| "ã": 8, | |
| "ñ": 18 | |
| } | |