Instructions to use dwb2023/llama38binstruct_summarize_jun14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dwb2023/llama38binstruct_summarize_jun14 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Meta-Llama-3-8B-Instruct") model = PeftModel.from_pretrained(base_model, "dwb2023/llama38binstruct_summarize_jun14") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b3e3945c969d6b1ea5d6f6779f39231460aa18697289f0a8d230eb5c7ec612ec
- Size of remote file:
- 5.43 kB
- SHA256:
- deb0f5f7fe3ebec0820c40c067d17520f6479b3cc0c585f24756d8016d084d9c
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