Instructions to use solve/wav2vec2-base-timit-demo-sol with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use solve/wav2vec2-base-timit-demo-sol with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="solve/wav2vec2-base-timit-demo-sol")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("solve/wav2vec2-base-timit-demo-sol") model = AutoModelForCTC.from_pretrained("solve/wav2vec2-base-timit-demo-sol", device_map="auto") - Notebooks
- Google Colab
- Kaggle
add tokenizer
Browse files- vocab.json +1 -1
vocab.json
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{"
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{"p": 0, "i": 1, "x": 2, "c": 4, "n": 5, "o": 6, "w": 7, "g": 8, "m": 9, "b": 10, "s": 11, "y": 12, "u": 13, "a": 14, "j": 15, "v": 16, "h": 17, "t": 18, "k": 19, "l": 20, "e": 21, "f": 22, "r": 23, "'": 24, "d": 25, "z": 26, "q": 27, "|": 3, "[UNK]": 28, "[PAD]": 29}
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