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