Instructions to use michaelfeil/ct2fast-codegen-350M-multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelfeil/ct2fast-codegen-350M-multi with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("michaelfeil/ct2fast-codegen-350M-multi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 96234279b62014809fbbb8beac8b820631c6a7cde82124b9748842b6f08488e4
- Size of remote file:
- 713 MB
- SHA256:
- 0a4872be39ccc40706790d56c12a1662f2ed4cca70022d0b96e4b702d723d0dd
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