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