Instructions to use Inishds/loraretriever-7b-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Inishds/loraretriever-7b-ru with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "Inishds/loraretriever-7b-ru") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a30cf4a07c21b328add8f88f0879a42aadc4ca731a7c4b384ecd549beadd39b
- Size of remote file:
- 5.24 kB
- SHA256:
- 41bba4bc36712a68155f66cdcf39a42c4f1375ed33c8f169d2676bc4cc63366e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.