Instructions to use asini/wav2vec_tuto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asini/wav2vec_tuto with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="asini/wav2vec_tuto")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("asini/wav2vec_tuto") model = AutoModelForCTC.from_pretrained("asini/wav2vec_tuto") - Notebooks
- Google Colab
- Kaggle
add tokenizer
Browse files- vocab.json +1 -1
vocab.json
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{"x": 0, "f": 1, "k": 2, "z": 3, "b": 4, "d": 5, "y": 6, "r": 7, "l": 8, "t": 9, "m": 10, "c": 11, "v": 12, "s": 13, "n": 14, "u": 15, "j": 16, "h": 17, "g": 18, "p": 19, "'": 21, "q": 22, "a": 23, "i": 24, "w": 25, "o": 26, "e": 27, "|": 20, "[UNK]": 28, "[PAD]": 29}
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