Instructions to use hadiqa123/XLS-R_timit_en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hadiqa123/XLS-R_timit_en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hadiqa123/XLS-R_timit_en")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("hadiqa123/XLS-R_timit_en") model = AutoModelForCTC.from_pretrained("hadiqa123/XLS-R_timit_en") - Notebooks
- Google Colab
- Kaggle
add tokenizer
Browse files- vocab.json +1 -1
vocab.json
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{"
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{"q": 0, "u": 1, "c": 2, "f": 3, "v": 4, "p": 5, "j": 6, "h": 7, "-": 8, "m": 9, "e": 10, "x": 11, "b": 12, "d": 13, "y": 14, "i": 15, "o": 16, "l": 17, "r": 18, "w": 20, "t": 21, "k": 22, "a": 23, "z": 24, "s": 25, "g": 26, "'": 27, "n": 28, "|": 19, "[UNK]": 29, "[PAD]": 30}
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