Instructions to use tarabukinivan/dab39e16-16dc-416c-9022-3ad4b4d9d8a7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tarabukinivan/dab39e16-16dc-416c-9022-3ad4b4d9d8a7 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Orenguteng/Llama-3-8B-Lexi-Uncensored") model = PeftModel.from_pretrained(base_model, "tarabukinivan/dab39e16-16dc-416c-9022-3ad4b4d9d8a7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f8c25de17c5ddad199b734fc157a8e87a3aa66d37c76e13040079362c8e3c6da
- Size of remote file:
- 6.78 kB
- SHA256:
- f0ecc2e3f0522858083609f0769377a2f3e7ed3dce54fa03c9b51695a4649d56
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