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- added_tokens.json +2 -2
- tokenizer_config.json +4 -4
- vocab.json +36 -34
added_tokens.json
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tokenizer_config.json
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vocab.json
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