Instructions to use michaelfeil/ct2fast-codegen-6B-multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelfeil/ct2fast-codegen-6B-multi with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("michaelfeil/ct2fast-codegen-6B-multi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26e22c0332cd59221294baa3c282d04e3d24a559ff6632c5a87c137d5a62d6b2
- Size of remote file:
- 14.1 GB
- SHA256:
- e9871ab88634e507eeef3f648dc33e5a0bc9025d4ee097704c3e7f2a95209572
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