Instructions to use CShorten/decicoder-schemaSplit-5k-steps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use CShorten/decicoder-schemaSplit-5k-steps with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Deci/DeciCoder-1b") model = PeftModel.from_pretrained(base_model, "CShorten/decicoder-schemaSplit-5k-steps") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 982fc61a69a53c4337b501de76c37cf1efcccf1964dde17453eafd869748f03f
- Size of remote file:
- 100 MB
- SHA256:
- 17632a0137874d074c022c1591f5eb6eddea4f13d1a3fff70ff1625196dd6525
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