Instructions to use adastracomputing/nixpkgs-security-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use adastracomputing/nixpkgs-security-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2") model = PeftModel.from_pretrained(base_model, "adastracomputing/nixpkgs-security-lora") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-240/optimizer.pt from adastracomputing/nixpkgs-security-lora: direct link, hf CLI and curl.
- Browser
- Download file 171 MB
-
https://huggingface.co/adastracomputing/nixpkgs-security-lora/resolve/97e7dd6d202d13837d96edf6579fdaf0f1920c21/checkpoint-240/optimizer.pt
- Command line
-
hf download hf://adastracomputing/nixpkgs-security-lora@97e7dd6d202d13837d96edf6579fdaf0f1920c21/checkpoint-240/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/adastracomputing/nixpkgs-security-lora/resolve/97e7dd6d202d13837d96edf6579fdaf0f1920c21/checkpoint-240/optimizer.pt
171 MB
- Xet hash:
- 0ba7881f4dafd7a8a0eee6dde99ae669afaf578b3f5a97317a7c106fbbf4df7a
- Size of remote file:
- 171 MB
- SHA256:
- d1b8ebb32685ec9f9f7275850b319072e453a1ac873b9b54b34106838109dc8e
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