Instructions to use paul21/llama-30b-50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use paul21/llama-30b-50 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("huggyllama/llama-30b") model = PeftModel.from_pretrained(base_model, "paul21/llama-30b-50") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 02e53777df192e565c357e99c5a98b4157e2d654b4dc84f774c81262b603117d
- Size of remote file:
- 307 MB
- SHA256:
- 0f522b608f9d97efadb37960558bebaa67d73a0eedd9252632ff5cddafc5d64c
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