Instructions to use evilfreelancer/ruGPT3.5-13B-lora-function-call with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use evilfreelancer/ruGPT3.5-13B-lora-function-call with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ai-forever/ruGPT-3.5-13B") model = PeftModel.from_pretrained(base_model, "evilfreelancer/ruGPT3.5-13B-lora-function-call") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0017ce1fd58973a741256bca9eb75dd6e20299b675a15b0471b9673021c508f4
- Size of remote file:
- 52.5 MB
- SHA256:
- 016cff4026fad0fc3b7ed99af9e73b5616edbf5b17580b26f8a2f8e2d6631f02
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.