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:
- 82ea9a63c4a7b8be6d6cb19307e531c488c5e69932605a2ca90ee091a1cedc6b
- Size of remote file:
- 168 MB
- SHA256:
- b63c60c259f42e050012676d4745e55605d17127eda745371ccef41c90351f30
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