Instructions to use Alphatao/8ef4bcaf-1ec1-40e2-9283-01f57fa7f87c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Alphatao/8ef4bcaf-1ec1-40e2-9283-01f57fa7f87c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Hermes-3-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "Alphatao/8ef4bcaf-1ec1-40e2-9283-01f57fa7f87c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 018b8c11b9dc87ffcbad6060ff7b37acad099aa5bfa29ee25addf88387c26852
- Size of remote file:
- 671 MB
- SHA256:
- d6fd1fa377060f16ec8c408d9689018fa8f0673906b5bac612c114eb8a2779a4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.