Automatic Speech Recognition
Transformers
PyTorch
Ukrainian
wav2vec2
common_voice
Generated from Trainer
Eval Results (legacy)
Instructions to use robinhad/wav2vec2-xls-r-300m-uk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use robinhad/wav2vec2-xls-r-300m-uk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="robinhad/wav2vec2-xls-r-300m-uk")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("robinhad/wav2vec2-xls-r-300m-uk") model = AutoModelForCTC.from_pretrained("robinhad/wav2vec2-xls-r-300m-uk") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b02b3138af06ea3a95bd79c3fb947624509ae9913749b3c76d55facf65ce518f
- Size of remote file:
- 1.26 GB
- SHA256:
- f565503cfd119e307ecea9fa2436a1547d0225d76817ff5567653c89aa17786a
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