Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
wavlm
Generated from Trainer
Instructions to use wrice/wavlm-large-timit-punctuation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wrice/wavlm-large-timit-punctuation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="wrice/wavlm-large-timit-punctuation")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("wrice/wavlm-large-timit-punctuation") model = AutoModelForCTC.from_pretrained("wrice/wavlm-large-timit-punctuation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Will Rice commited on
Commit ·
f5abe6d
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Parent(s): 976a807
add tokenizer
Browse files- vocab.json +1 -1
vocab.json
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{"g": 0, "s": 1, "V": 2, "c": 3, "?": 4, ",": 5, "K": 6, ":": 7, "p": 8, "h": 9, "j": 10, "t": 11, ";": 12, "u": 13, "k": 14, "Y": 15, "y": 16, "S": 17, "W": 18, "M": 19, "J": 20, "N": 21, "L": 22, "f": 23, "B": 24, "O": 25, "!": 26, "o": 27, "a": 28, "D": 29, "w": 30, "X": 31, "R": 32, "l": 33, "i": 34, ".": 35, "m": 36, "\"": 37, "d": 38, "T": 39, "q": 40, "b": 41, "n": 42, "G": 43, "z": 44, "F": 45, "P": 46, "H": 47, "e": 48, "I": 49, "Q": 50, "-": 51, "C": 52, "x": 53, "'": 54, "A": 55, "v": 56, "E": 57, "U": 58, "r": 59, "|": 60, "[UNK]": 61, "[PAD]": 62}
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