Instructions to use hllj/wav2vec2-base-robust with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hllj/wav2vec2-base-robust with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("hllj/wav2vec2-base-robust") model = AutoModelForPreTraining.from_pretrained("hllj/wav2vec2-base-robust", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 992f9b813c055e90a10fb5bad6359c6fda51312d79de9de60b4ce23faa7014ad
- Size of remote file:
- 380 MB
- SHA256:
- f80dbf183f27a4481ba8000b4a230511812f31b8ab8e13810d18c813b06367f1
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