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
add tokenizer
Browse files- vocab.json +1 -1
vocab.json
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{"
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{"m": 0, "j": 1, "f": 2, "e": 3, "z": 4, "r": 5, "v": 6, "y": 7, "w": 8, "h": 9, "a": 10, "d": 11, "c": 12, "g": 13, "x": 14, "i": 15, "p": 16, "u": 17, "b": 18, "s": 19, "'": 20, "q": 21, "k": 22, "o": 23, "n": 24, "t": 25, "l": 26, "|": 27, "[UNK]": 28, "[PAD]": 29}
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