Instructions to use sanka85/rstp_instruct_new_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sanka85/rstp_instruct_new_2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "sanka85/rstp_instruct_new_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a467eb6adfe15c51335125665e4324e0c63d29e6702b71d8699d8075c221c79e
- Size of remote file:
- 160 MB
- SHA256:
- df8b73aa9c16018dce2babb78fd5c1a0da18508be5f2601e3b56ba766607740d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.