Instructions to use GodwillN/w2vbert-clean-silence-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GodwillN/w2vbert-clean-silence-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="GodwillN/w2vbert-clean-silence-v2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("GodwillN/w2vbert-clean-silence-v2") model = AutoModelForCTC.from_pretrained("GodwillN/w2vbert-clean-silence-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f20e618a4ef81648ead3c103a7baf8ecb3adb888f97a48b1bc51d8b10351fecc
- Size of remote file:
- 5.84 kB
- SHA256:
- 2396bfe1f3824f529072b1f95f651570f85a5a33d33eccdb92a531cdb557b1b9
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