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")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("asini/wav2vec_tuto") model = AutoModelForCTC.from_pretrained("asini/wav2vec_tuto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
add tokenizer
Browse files- vocab.json +1 -1
vocab.json
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{"i": 0, "n": 1, "e": 2, "g": 3, "w": 4, "m": 5, "t": 6, "p": 7, "a": 8, "v": 9, "y": 10, "s": 11, "u": 12, "'": 13, "l": 14, "z": 15, "x": 16, "d": 17, "c": 18, "h": 20, "q": 21, "j": 22, "o": 23, "k": 24, "r": 25, "b": 26, "f": 27, "|": 19, "[UNK]": 28, "[PAD]": 29}
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