Instructions to use dada22231/8930a01c-082f-4c01-82c3-703887d7b3dc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/8930a01c-082f-4c01-82c3-703887d7b3dc 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, "dada22231/8930a01c-082f-4c01-82c3-703887d7b3dc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 59acdfa3679eee4027635de7019f38ef7b2e7f38b58c3b51512226ffb8861548
- Size of remote file:
- 336 MB
- SHA256:
- 70a9fdb60f1529cc8fef0caede4b8d913e79d54ef0596d41fc71f5e329585ef0
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