Instructions to use TencentGameMate/chinese-wav2vec2-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TencentGameMate/chinese-wav2vec2-large with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("TencentGameMate/chinese-wav2vec2-large") model = AutoModelForPreTraining.from_pretrained("TencentGameMate/chinese-wav2vec2-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ef5770a955a8a673e6d49f57a4a681c0e863e6a30620e727a4d7a72a1642a97
- Size of remote file:
- 1.27 GB
- SHA256:
- c8a5554a79c3bbbe76f2e43d3d4b4369c8c2abd5515e623192e0381d7e5e7b3f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.