Instructions to use Phuree/llama3-binaria2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Phuree/llama3-binaria2 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, "Phuree/llama3-binaria2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f029995aaa2e23ec85842f3e7da600a5197ad8d4e5bd2ee554fcb802b3094e4
- Size of remote file:
- 4.73 kB
- SHA256:
- 5ff87d536d5ba645d1624db5139da158328c3eae9f777fe0374d45ba130a18ea
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.