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/adapter_model.safetensors from tarabukinivan/dab39e16-16dc-416c-9022-3ad4b4d9d8a7: direct link, hf CLI and curl.
- Browser
- Download file 83.9 MB
-
https://huggingface.co/tarabukinivan/dab39e16-16dc-416c-9022-3ad4b4d9d8a7/resolve/main/last-checkpoint/adapter_model.safetensors
- Command line
-
hf download hf://tarabukinivan/dab39e16-16dc-416c-9022-3ad4b4d9d8a7/last-checkpoint/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/tarabukinivan/dab39e16-16dc-416c-9022-3ad4b4d9d8a7/resolve/main/last-checkpoint/adapter_model.safetensors
83.9 MB
- Xet hash:
- 29659ff411848ea73af05be32136e64cc72632bae32ee72909dfb008a86c3754
- Size of remote file:
- 83.9 MB
- SHA256:
- 2c5ceccac1e41b6ab4943a237b1547f43185be9ed933d9176b9b40e074d40c0d
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