Text Classification
PEFT
Safetensors
Vietnamese
soft-prompt
prompt-tuning
hallucination-detection
vietnamese
ViHallu
Instructions to use Laplaces-Red-Devils/vihallu-qwen3-4b-softprompt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Laplaces-Red-Devils/vihallu-qwen3-4b-softprompt with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-4B-Instruct-2507") model = PeftModel.from_pretrained(base_model, "Laplaces-Red-Devils/vihallu-qwen3-4b-softprompt") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_name": "Qwen/Qwen3-4B-Instruct-2507", | |
| "method": "Soft Prompt / Prompt Tuning (PEFT)", | |
| "num_virtual_tokens": 32, | |
| "epochs": 5, | |
| "lr": 0.005, | |
| "max_seq_length": 2048, | |
| "optim": "adamw_torch", | |
| "smoke": false | |
| } |