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/rng_state.pth from tarabukinivan/dab39e16-16dc-416c-9022-3ad4b4d9d8a7: direct link, hf CLI and curl.
- Browser
- Download file 14.2 kB
-
https://huggingface.co/tarabukinivan/dab39e16-16dc-416c-9022-3ad4b4d9d8a7/resolve/main/last-checkpoint/rng_state.pth
- Command line
-
hf download hf://tarabukinivan/dab39e16-16dc-416c-9022-3ad4b4d9d8a7/last-checkpoint/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/tarabukinivan/dab39e16-16dc-416c-9022-3ad4b4d9d8a7/resolve/main/last-checkpoint/rng_state.pth
14.2 kB
- Xet hash:
- fae6509e2ac97289ab0e901ee7c6a49783185878fdd675622c57c02acb89f551
- Size of remote file:
- 14.2 kB
- SHA256:
- d5984d2f8f71fff6b08847d3fcb1f324914b36bd22b35d67488d6a319a5d85a5
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