Automatic Speech Recognition
Transformers
Safetensors
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use sulaimank/wav2vec-xlsr-grain-lg_cv_only with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sulaimank/wav2vec-xlsr-grain-lg_cv_only with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sulaimank/wav2vec-xlsr-grain-lg_cv_only")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("sulaimank/wav2vec-xlsr-grain-lg_cv_only") model = AutoModelForCTC.from_pretrained("sulaimank/wav2vec-xlsr-grain-lg_cv_only", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a07c03ce661c700fac1573d245f911332fe5ea6deff6acebda62eba8fccaf2b9
- Size of remote file:
- 5.3 kB
- SHA256:
- 6c2304116ea8c16d37d66ee51446289aad80298fa26c6fa3c661d2c8ba78f6f2
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