Instructions to use acastelan/llama38binstruct_summarize with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use acastelan/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, "acastelan/llama38binstruct_summarize") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 175b197661e8da0a3404a09e848331447d0596552149545c8ac4ac3243e44596
- Size of remote file:
- 5.37 kB
- SHA256:
- 764586ff3d393247fe05c2d854b6fb6148164e921e373a213300a649186a2fd6
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