Instructions to use goodlucky55555/90ed73c5-795c-4e75-8b58-2241d4cea49b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use goodlucky55555/90ed73c5-795c-4e75-8b58-2241d4cea49b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("lmsys/vicuna-13b-v1.5") model = PeftModel.from_pretrained(base_model, "goodlucky55555/90ed73c5-795c-4e75-8b58-2241d4cea49b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30feac7ff879770a4ab8f4704debc85fd29d40885d3c160f9e11bc8870958235
- Size of remote file:
- 125 MB
- SHA256:
- d108cee729de49b3ff488faf87997b682efb399eaa41da2a2dc205281c2d6e8e
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