Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use Jana0511/wav2vec2-large-xls-r-300m-welsh-colab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jana0511/wav2vec2-large-xls-r-300m-welsh-colab with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Jana0511/wav2vec2-large-xls-r-300m-welsh-colab")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Jana0511/wav2vec2-large-xls-r-300m-welsh-colab") model = AutoModelForCTC.from_pretrained("Jana0511/wav2vec2-large-xls-r-300m-welsh-colab", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f8111480f0aef3a063dc7c4e62ccf3677270ccdc00ab3db00feb9c96cbc64361
- Size of remote file:
- 1.26 GB
- SHA256:
- 43a841ae823d8cecabdfd4b5716397fbbc2279570592a51c2de1736e2636459e
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