Instructions to use ceyda/wav2vec2-base-760 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ceyda/wav2vec2-base-760 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ceyda/wav2vec2-base-760")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("ceyda/wav2vec2-base-760") model = AutoModel.from_pretrained("ceyda/wav2vec2-base-760") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d861b8904bac97ccd269ed6d3aa928d40f0c49bfd855a2bcd245db1e2e3b7a07
- Size of remote file:
- 378 MB
- SHA256:
- 6e17ae40a53d953d079f79a8a925694f45f15c5426bd147de96635ac97d5f086
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