Instructions to use KSU-HW-SEC/rtlcoder-8B-Instruct-ttc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use KSU-HW-SEC/rtlcoder-8B-Instruct-ttc with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "KSU-HW-SEC/rtlcoder-8B-Instruct-ttc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 98fc39e9566de41041031c7a14a67a98e0dc9dae38e16e7d08feb43d4774eabd
- Size of remote file:
- 5.69 kB
- SHA256:
- 2eace9b005b758db617a0e7118955c4ebb84cf18a69421a8ace897144b55a809
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