Instructions to use Nannanzi/sft_instruct_reason_lr2e-05 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Nannanzi/sft_instruct_reason_lr2e-05 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct") model = PeftModel.from_pretrained(base_model, "Nannanzi/sft_instruct_reason_lr2e-05") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ea60c665e8d5b7f9996ba80fd57aa5adbdfe1df406fcaa66153c9659327bd80
- Size of remote file:
- 17.2 MB
- SHA256:
- 44fae2a594519200a13bfc4a949b0e929d1646c80a7e2afd3851c841eeeef99c
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