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