Instructions to use dwb2023/llama38binstruct_summarize with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dwb2023/llama38binstruct_summarize 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c289c442c95e16609b95cfc6bdd629ee5272a5238ccfccdd385febb7ed365cf
- Size of remote file:
- 5.43 kB
- SHA256:
- 5a10f393c1617151db0aa89533642c35b66d61da5abea9a055150180aa528bf1
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