Instructions to use michaelfeil/ct2fast-codegen-350M-mono with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelfeil/ct2fast-codegen-350M-mono with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("michaelfeil/ct2fast-codegen-350M-mono", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e267c61204b50a9374729214b1e342836887e64635781c5992d9680161fb26c
- Size of remote file:
- 713 MB
- SHA256:
- b77970874b6a01f52de2230e31126b68e9fa73f883530411417e14007d552515
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