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
Download last-checkpoint/trainer_state.json from tarabukinivan/dab39e16-16dc-416c-9022-3ad4b4d9d8a7: direct link, hf CLI and curl.
- Browser
- Download file 4.52 kB
-
https://huggingface.co/tarabukinivan/dab39e16-16dc-416c-9022-3ad4b4d9d8a7/resolve/main/last-checkpoint/trainer_state.json
- Command line
-
hf download hf://tarabukinivan/dab39e16-16dc-416c-9022-3ad4b4d9d8a7/last-checkpoint/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/tarabukinivan/dab39e16-16dc-416c-9022-3ad4b4d9d8a7/resolve/main/last-checkpoint/trainer_state.json
4.52 kB
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