Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
mozilla-foundation/common_voice_7_0
Generated from Trainer
Instructions to use chmanoj/xls-r-300m-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chmanoj/xls-r-300m-sv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="chmanoj/xls-r-300m-sv")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("chmanoj/xls-r-300m-sv") model = AutoModelForCTC.from_pretrained("chmanoj/xls-r-300m-sv") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e7628e913a0c8dfc32f965ed557a155900e1ec951d3b1cead19834810a91984
- Size of remote file:
- 1.26 GB
- SHA256:
- fab04453ef31717d5c79f49a9ab4367b942ff7af5783e8728af4ad4886acf678
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