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-200/adapter_model.safetensors from adastracomputing/nixpkgs-security-lora: direct link, hf CLI and curl.
- Browser
- Download file 168 MB
-
https://huggingface.co/adastracomputing/nixpkgs-security-lora/resolve/97e7dd6d202d13837d96edf6579fdaf0f1920c21/checkpoint-200/adapter_model.safetensors
- Command line
-
hf download hf://adastracomputing/nixpkgs-security-lora@97e7dd6d202d13837d96edf6579fdaf0f1920c21/checkpoint-200/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/adastracomputing/nixpkgs-security-lora/resolve/97e7dd6d202d13837d96edf6579fdaf0f1920c21/checkpoint-200/adapter_model.safetensors
168 MB
- Xet hash:
- eefe2149a9e28c10488a67b95418526213ead5cef108e105a12d9177a7debfe2
- Size of remote file:
- 168 MB
- SHA256:
- ff4187a466f138acc4a47c032b6f3e2851815d25ac627696957f05618cb1eeda
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