Instructions to use michaelfeil/ct2fast-codet5p-770m-py with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelfeil/ct2fast-codet5p-770m-py with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("michaelfeil/ct2fast-codet5p-770m-py", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a1e603158250feb752804329fefa8bbbb90faa5675a115258ed340cd784bfcb
- Size of remote file:
- 1.48 GB
- SHA256:
- 72b4f4aae3306005d2aa07da0627fccf54f2f81ff676b944f5e7e60167e74663
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