Text Classification
PEFT
Safetensors
English
npm
supply-chain-security
malware-detection
malicious-packages
security
triage
typed-decisions
lora
qlora
Instructions to use Takzen/jay-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Takzen/jay-4b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-4B") model = PeftModel.from_pretrained(base_model, "Takzen/jay-4b") - Notebooks
- Google Colab
- Kaggle
File size: 420 Bytes
5ec81d1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | {
"temperature": {
"choice": 1.231
},
"template": "decision-v1",
"adapter": "artifacts/pilot2/adapter",
"tta": false,
"panel": {
"n": 974,
"skipped_long": 4,
"families": {
"verdict": 650,
"origin": 328
}
},
"by_type": {
"choice": {
"n": 974,
"nll_before": 0.0714,
"nll_after": 0.0679,
"ece_before": 0.0129,
"ece_after": 0.0082
}
}
} |