Instructions to use havinash-ai/a3227c40-4c46-45c1-8cb4-f194a8559a06 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use havinash-ai/a3227c40-4c46-45c1-8cb4-f194a8559a06 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, "havinash-ai/a3227c40-4c46-45c1-8cb4-f194a8559a06") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8bf4d37428d0b6b5fee999dfb70e8a0623996df3776021acab02041bbf86ee4e
- Size of remote file:
- 84 MB
- SHA256:
- 4d6da585055ab3fb2842f2185f7c2f7356c79084bb0b2eabd632f99faf383264
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.