Instructions to use odoom/nixpkgs-security-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use odoom/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, "odoom/nixpkgs-security-lora") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from odoom/nixpkgs-security-lora: direct link, hf CLI and curl.
- Browser
- Download file 168 MB
-
https://huggingface.co/odoom/nixpkgs-security-lora/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://odoom/nixpkgs-security-lora/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/odoom/nixpkgs-security-lora/resolve/main/adapter_model.safetensors
168 MB
- Xet hash:
- 0e0a2907795e8806445399f4e90903d37cd9ab430fa7fcb4d98953c7ed46215d
- Size of remote file:
- 168 MB
- SHA256:
- e6c7bb4264624b032025acd56379bb1473d0830a49293d310d9f127ef5881a39
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