Instructions to use hadiqa123/XLS-R_53_english with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hadiqa123/XLS-R_53_english with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hadiqa123/XLS-R_53_english")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("hadiqa123/XLS-R_53_english") model = AutoModelForCTC.from_pretrained("hadiqa123/XLS-R_53_english") - Notebooks
- Google Colab
- Kaggle
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{"w": 0, "z": 1, "o": 2, "t": 3, "k": 4, "g": 5, "b": 6, "c": 7, "d": 8, "m": 10, "i": 11, "q": 12, "l": 13, "u": 14, "'": 15, "x": 16, "s": 17, "j": 18, "v": 19, "h": 20, "e": 21, "f": 22, "a": 23, "y": 24, "p": 25, "r": 26, "n": 27, "|": 9, "[UNK]": 28, "[PAD]": 29
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{"w": 0, "z": 1, "o": 2, "t": 3, "k": 4, "g": 5, "b": 6, "c": 7, "d": 8, "m": 10, "i": 11, "q": 12, "l": 13, "u": 14, "'": 15, "x": 16, "s": 17, "j": 18, "v": 19, "h": 20, "e": 21, "f": 22, "a": 23, "y": 24, "p": 25, "r": 26, "n": 27, "|": 9, "[UNK]": 28, "[PAD]": 29}
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