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 last-checkpoint/optimizer.pt from aleegis12/1192696c-aa12-4e64-b0fe-dcccc7dd37e3: direct link, hf CLI and curl.
- Browser
- Download file 341 MB
-
https://huggingface.co/aleegis12/1192696c-aa12-4e64-b0fe-dcccc7dd37e3/resolve/eb3ae63e3021bc1f9038e019ec2fdbbd84fef4c0/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://aleegis12/1192696c-aa12-4e64-b0fe-dcccc7dd37e3@eb3ae63e3021bc1f9038e019ec2fdbbd84fef4c0/last-checkpoint/optimizer.pt
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curl -L -o optimizer.pt https://huggingface.co/aleegis12/1192696c-aa12-4e64-b0fe-dcccc7dd37e3/resolve/eb3ae63e3021bc1f9038e019ec2fdbbd84fef4c0/last-checkpoint/optimizer.pt
341 MB
- Xet hash:
- 02a7d4b6a3dc10637ac37b15ee1e92afd52e67fe441a82928cefd4d728dcd242
- Size of remote file:
- 341 MB
- SHA256:
- 95663c72e9c82e294cdd4af0c33dd6b8aac32defd4540cbc5e4e82bc0093fab1
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