Instructions to use lllFaNToMlll/wac2vec-lllfantomlll with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lllFaNToMlll/wac2vec-lllfantomlll with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="lllFaNToMlll/wac2vec-lllfantomlll")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("lllFaNToMlll/wac2vec-lllfantomlll") model = AutoModelForCTC.from_pretrained("lllFaNToMlll/wac2vec-lllfantomlll", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
87df2e6
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Parent(s): 26b3650
add tokenizer
Browse files- vocab.json +1 -1
vocab.json
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{"y": 0, "b": 1, "k": 2, "m": 3, "d": 4, "u": 5, "l": 6, "s": 7, "w": 8, "q": 9, "v": 10, "p": 11, "z": 12, "a": 13, "j": 14, "t": 15, "h": 16, "n": 17, "g": 18, "'": 19, "r": 21, "x": 22, "i": 23, "f": 24, "o": 25, "e": 26, "c": 27, "|": 20, "[UNK]": 28, "[PAD]": 29}
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