Instructions to use voidful/lcodec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use voidful/lcodec with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("voidful/lcodec", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 208b13672d222e214334ffebbc132bee1c6d4eb5fa0ba3d5140c42094a97237a
- Size of remote file:
- 15.3 MB
- SHA256:
- 7ff04eb78ef6e0d3bc4521b9eb818e6a7a8c9fb08bd58ecfe228119176c8b52e
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