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:
- 1de171456ca072e8cbc004773c34e61e1c851a5881960286d337777d37bf53d9
- Size of remote file:
- 3.18 kB
- SHA256:
- d58c61acdabd1be49eaa27ac2766dd6411648212e2724be9c943fa00655a9094
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