Automatic Speech Recognition
Transformers
PyTorch
Safetensors
English
wav2vec2
speech
audio
Eval Results
Instructions to use facebook/wav2vec2-large-robust-ft-libri-960h with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/wav2vec2-large-robust-ft-libri-960h with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="facebook/wav2vec2-large-robust-ft-libri-960h")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("facebook/wav2vec2-large-robust-ft-libri-960h") model = AutoModelForCTC.from_pretrained("facebook/wav2vec2-large-robust-ft-libri-960h", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
2e1ddec
1
Parent(s): 7e73fef
small fix
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vocab.json
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{"<pad>": 0, "<s>": 1, "</s>": 2, "<unk>": 3, "|": 4, "E": 5, "T": 6, "O": 7, "A": 8, "I": 9, "N": 10, "H": 11, "S": 12, "R": 13, "L": 14, "D": 15, "U": 16, "Y": 17, "W": 18, "M": 19, "C": 20, "G": 21, "F": 22, "P": 23, "B": 24, "K": 25, "'": 26, "V": 27, "
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{"<pad>": 0, "<s>": 1, "</s>": 2, "<unk>": 3, "|": 4, "E": 5, "T": 6, "O": 7, "A": 8, "I": 9, "N": 10, "H": 11, "S": 12, "R": 13, "L": 14, "D": 15, "U": 16, "Y": 17, "W": 18, "M": 19, "C": 20, "G": 21, "F": 22, "P": 23, "B": 24, "K": 25, "'": 26, "V": 27, "J": 28, "X": 29, "Q": 30, "Z": 31}
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