Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
English
wav2vec2
voxpopuli
google/xtreme_s
Generated from Trainer
Instructions to use anton-l/xtreme_s_xlsr_300m_voxpopuli_en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anton-l/xtreme_s_xlsr_300m_voxpopuli_en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="anton-l/xtreme_s_xlsr_300m_voxpopuli_en")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("anton-l/xtreme_s_xlsr_300m_voxpopuli_en") model = AutoModelForCTC.from_pretrained("anton-l/xtreme_s_xlsr_300m_voxpopuli_en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d39abc5c5fd2904ffe0502b39efd77086f778b172b34c8dc323d18ac17c78847
- Size of remote file:
- 631 MB
- SHA256:
- 600f191dd530c3ac20ef204575b89eead93f3eaba38ca7d6213b61a85caa4211
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