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
File size: 453 Bytes
ddb7a0e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 | {
"'": 30,
"[PAD]": 39,
"[UNK]": 38,
"a": 31,
"b": 7,
"c": 12,
"d": 4,
"e": 34,
"f": 23,
"g": 15,
"h": 10,
"i": 24,
"j": 3,
"k": 8,
"l": 9,
"m": 14,
"n": 33,
"o": 22,
"p": 37,
"q": 27,
"r": 25,
"s": 0,
"t": 18,
"u": 21,
"v": 16,
"w": 32,
"x": 28,
"y": 20,
"z": 17,
"|": 13,
"«": 11,
"»": 5,
"å": 36,
"æ": 35,
"é": 6,
"í": 19,
"ó": 2,
"ø": 26,
"–": 29,
"—": 1
}
|