Text Generation
PEFT
Safetensors
English
spaniel
ai-governance
ai-security
sensitive-data-detection
credential-detection
pii-detection
named-entity-recognition
data-loss-prevention
local-inference
constrained-decoding
lora
qwen3
synthetic-data
experimental
Instructions to use Harsh/spaniel-credential-context-lora-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Harsh/spaniel-credential-context-lora-v0.1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Harsh/qwen3-0.6b-pii-sft-v2") model = PeftModel.from_pretrained(base_model, "Harsh/spaniel-credential-context-lora-v0.1") - Notebooks
- Google Colab
- Kaggle
Download CITATION.cff from Harsh/spaniel-credential-context-lora-v0.1: direct link, hf CLI and curl.
- Browser
- Download file 617 Bytes
-
https://huggingface.co/Harsh/spaniel-credential-context-lora-v0.1/resolve/main/CITATION.cff
- Command line
-
hf download hf://Harsh/spaniel-credential-context-lora-v0.1/CITATION.cff
-
curl -L -o CITATION.cff https://huggingface.co/Harsh/spaniel-credential-context-lora-v0.1/resolve/main/CITATION.cff
617 Bytes
| cff-version: 1.2.0 | |
| message: "If you use SPANIEL, please cite this repository and the model revision used." | |
| type: software | |
| title: "SPANIEL Context v0.1: Credential and Contextual Compensation Detection" | |
| authors: | |
| - family-names: Singhal | |
| given-names: Harsh | |
| website: "https://www.linkedin.com/in/harshsinghal/" | |
| repository-code: "https://github.com/harshsinghal/SPANIEL" | |
| url: "https://huggingface.co/Harsh/spaniel-credential-context-lora-v0.1" | |
| keywords: | |
| - AI governance | |
| - AI security | |
| - PII detection | |
| - local inference | |
| - supervised fine-tuning | |
| - synthetic data | |
| - constrained decoding | |
| version: "0.1" | |