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
Upload params.json with huggingface_hub
Browse files- params.json +10 -0
params.json
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{
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"model_name": "Qwen/Qwen3-4B-Instruct-2507",
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"method": "Soft Prompt / Prompt Tuning (PEFT)",
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"num_virtual_tokens": 32,
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"epochs": 5,
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"lr": 0.005,
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"max_seq_length": 2048,
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"optim": "adamw_torch",
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"smoke": false
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}
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