Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use greenw0lf/wav2vec2-large-xls-r-1b-frisian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use greenw0lf/wav2vec2-large-xls-r-1b-frisian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="greenw0lf/wav2vec2-large-xls-r-1b-frisian")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("greenw0lf/wav2vec2-large-xls-r-1b-frisian") model = AutoModelForCTC.from_pretrained("greenw0lf/wav2vec2-large-xls-r-1b-frisian", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93f915c882b2e607a624ab301c1e74acb762db943806ba8edd96b945eda42bc3
- Size of remote file:
- 3.85 GB
- SHA256:
- 7e8b9e2bf84e48b8b165856149f207418eb511e0c34b29b061c13b6b5dbcb91c
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