Instructions to use kk-aivio/98f9cbf5-961f-4aca-80f3-c5555d8bcd9b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kk-aivio/98f9cbf5-961f-4aca-80f3-c5555d8bcd9b 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, "kk-aivio/98f9cbf5-961f-4aca-80f3-c5555d8bcd9b") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from kk-aivio/98f9cbf5-961f-4aca-80f3-c5555d8bcd9b: direct link, hf CLI and curl.
- Browser
- Download file 84 MB
-
https://huggingface.co/kk-aivio/98f9cbf5-961f-4aca-80f3-c5555d8bcd9b/resolve/main/adapter_model.bin
- Command line
-
hf download hf://kk-aivio/98f9cbf5-961f-4aca-80f3-c5555d8bcd9b/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/kk-aivio/98f9cbf5-961f-4aca-80f3-c5555d8bcd9b/resolve/main/adapter_model.bin
84 MB
- Xet hash:
- 13758f00e8add067b2a02ff842243f369418f01d4d00c6bcd257dc2b7a2e852c
- Size of remote file:
- 84 MB
- SHA256:
- 5827a102369de0da956bb2cbf03b8dff8d22ac76721f9fa962fa2d519bbed277
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