Instructions to use deboramachadoandrade/llama38binstruct_summarize with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use deboramachadoandrade/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, "deboramachadoandrade/llama38binstruct_summarize") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc587422b9eb1304529028cab969184684fd67faaa2a686e06c73ebedeb2abfa
- Size of remote file:
- 5.37 kB
- SHA256:
- 3941fc36946011a7cfe6c9e06520bb34896087600503433ff20060fed5232283
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