Instructions to use josephmayo/Holo-3.1-4B-Coder-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use josephmayo/Holo-3.1-4B-Coder-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Hcompany/Holo-3.1-4B") model = PeftModel.from_pretrained(base_model, "josephmayo/Holo-3.1-4B-Coder-LoRA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4fea54f63e57c8867c857f05725cf26011012cb5fc31ae45b93a4da037773bd1
- Size of remote file:
- 20 MB
- SHA256:
- 4dc4aa91514e32a7a6a31fe5c609560581797efdac12886a511a014949813d4f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.