Instructions to use michaelfeil/ct2fast-codegen-2B-multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelfeil/ct2fast-codegen-2B-multi with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("michaelfeil/ct2fast-codegen-2B-multi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df210438c3c5b35d4bbf33e47eea1043ebcbc34ab1be0eebd5bbd5cb0314d06e
- Size of remote file:
- 5.56 GB
- SHA256:
- 1fbec668a976e522b7998f3c46c7aed577a3ea4d4ac115fcfb6c3d260e2075a4
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