Instructions to use aleegis12/1192696c-aa12-4e64-b0fe-dcccc7dd37e3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis12/1192696c-aa12-4e64-b0fe-dcccc7dd37e3 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, "aleegis12/1192696c-aa12-4e64-b0fe-dcccc7dd37e3") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from aleegis12/1192696c-aa12-4e64-b0fe-dcccc7dd37e3: direct link, hf CLI and curl.
- Browser
- Download file 671 MB
-
https://huggingface.co/aleegis12/1192696c-aa12-4e64-b0fe-dcccc7dd37e3/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://aleegis12/1192696c-aa12-4e64-b0fe-dcccc7dd37e3/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/aleegis12/1192696c-aa12-4e64-b0fe-dcccc7dd37e3/resolve/main/adapter_model.safetensors
671 MB
- Xet hash:
- 00df3454afe237c25609963bf56c05beb609fbec307e75b4dd6516452fa23ccf
- Size of remote file:
- 671 MB
- SHA256:
- fed470f917aebd0601aec5ee2d94ca1652f99fb74ded2aa81ec68736a6a969ed
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