Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use davidilag/wav2vec2-xls-r-1b-danish-12h-6k-steps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davidilag/wav2vec2-xls-r-1b-danish-12h-6k-steps with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="davidilag/wav2vec2-xls-r-1b-danish-12h-6k-steps")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("davidilag/wav2vec2-xls-r-1b-danish-12h-6k-steps") model = AutoModelForCTC.from_pretrained("davidilag/wav2vec2-xls-r-1b-danish-12h-6k-steps") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files- vocab.json +37 -37
vocab.json
CHANGED
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{
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}
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{
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"'": 31,
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"[PAD]": 39,
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"[UNK]": 38,
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"a": 22,
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"b": 23,
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"c": 16,
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"d": 33,
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"e": 21,
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"f": 34,
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"g": 17,
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"h": 30,
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"i": 26,
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"j": 29,
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"k": 32,
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"l": 5,
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"m": 11,
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"n": 4,
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"o": 27,
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"p": 12,
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"q": 13,
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"r": 1,
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"s": 9,
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"t": 6,
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"u": 28,
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"v": 15,
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"w": 8,
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"x": 7,
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"y": 20,
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"z": 14,
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"|": 2,
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"«": 0,
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"»": 36,
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"å": 24,
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"æ": 37,
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"é": 3,
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"í": 18,
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"ó": 35,
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"ø": 19,
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"–": 25,
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"—": 10
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}
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