Instructions to use Roner1/LLaMA-Colosal-NeuroIPS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Roner1/LLaMA-Colosal-NeuroIPS with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("hpcai-tech/Colossal-LLaMA-2-7b-base") model = PeftModel.from_pretrained(base_model, "Roner1/LLaMA-Colosal-NeuroIPS") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0fb301bfcb1c2e24f894987c9bd3df23f0bb15d9a6580e71061f7f82d68144c8
- Size of remote file:
- 269 MB
- SHA256:
- c08deddfd5df8f66106fbecb94c46574b0bc50ae51a67e03cb6e9907cca24cb5
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