Instructions to use Fduv/DeciCoder-FineTuned-CodeAlpaca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Fduv/DeciCoder-FineTuned-CodeAlpaca with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Deci/DeciCoder-1b") model = PeftModel.from_pretrained(base_model, "Fduv/DeciCoder-FineTuned-CodeAlpaca") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9ae210eff65c39ad1a9fcad13aa6d345d99a8164926981e552ebcac517dcecd
- Size of remote file:
- 4.12 MB
- SHA256:
- b7f3d322d8e1e9c978e2e7d5dee0a306825ff96c4f7b094129b2a2272ed335b8
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