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:
- 317ef04544b74db0875065f44d22cd8d37c7e5093ab3e31f3f8cdd364b224c86
- Size of remote file:
- 1.26 GB
- SHA256:
- bfdd2dc19990652c3ddab425d2f2a8da93736db69ffdd83bf07938ada50b704e
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