Instructions to use golesheed/wav2vec2-large-xls-r-1b-frisian-cv-13-elderly-augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use golesheed/wav2vec2-large-xls-r-1b-frisian-cv-13-elderly-augmented with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="golesheed/wav2vec2-large-xls-r-1b-frisian-cv-13-elderly-augmented")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("golesheed/wav2vec2-large-xls-r-1b-frisian-cv-13-elderly-augmented") model = AutoModelForCTC.from_pretrained("golesheed/wav2vec2-large-xls-r-1b-frisian-cv-13-elderly-augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "'": 20, | |
| "[PAD]": 27, | |
| "[UNK]": 26, | |
| "a": 3, | |
| "b": 22, | |
| "c": 23, | |
| "d": 10, | |
| "e": 19, | |
| "f": 6, | |
| "g": 5, | |
| "h": 4, | |
| "i": 2, | |
| "j": 14, | |
| "k": 12, | |
| "l": 11, | |
| "m": 18, | |
| "n": 16, | |
| "o": 21, | |
| "p": 9, | |
| "r": 1, | |
| "s": 0, | |
| "t": 17, | |
| "u": 24, | |
| "v": 25, | |
| "w": 15, | |
| "y": 13, | |
| "z": 7, | |
| "|": 8 | |
| } | |