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
wav2vec2-xls-r-1b-danish-12h-6k-steps / runs /Nov18_16-13-03_97376cc63b93 /events.out.tfevents.1731946560.97376cc63b93.1764.0
- Xet hash:
- 0184e29448b0ca8d56c3596a12775c04f54e9a419c62bd95f9760621c06787f0
- Size of remote file:
- 15.4 kB
- SHA256:
- a4c3cc678dc79fc7814ebdc27bdcc218fd359767f283cc586b3799f14ef9968c
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