Instructions to use openpecha/wav2vec2_run8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openpecha/wav2vec2_run8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="openpecha/wav2vec2_run8")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("openpecha/wav2vec2_run8") model = AutoModelForCTC.from_pretrained("openpecha/wav2vec2_run8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2574bfaa9f838d44278ee5ec009345ccdad72f65f3ac1b50b1d91a48fbbe2d86
- Size of remote file:
- 1.26 GB
- SHA256:
- 3047ac7b37d6feac1dd2b8981c2387beae62deb9435d38e2628893a0623af69b
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