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:
- c0f65bcbd76c71b231e9b2b1808aa6c98954551f88d3511fbcd342d3e675d14e
- Size of remote file:
- 153 MB
- SHA256:
- 1fdf18b330e6d0851cb64d080d9d34093ed9670790e849ec221a430cbfd422b2
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