Text Generation
PEFT
Safetensors
lora
adapter
causal-lm
qwen
instruction-tuning
summary
building-energy
Instructions to use meftah416/qwen3-1.7B-bang-summary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use meftah416/qwen3-1.7B-bang-summary with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-1.7B") model = PeftModel.from_pretrained(base_model, "meftah416/qwen3-1.7B-bang-summary") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c459be7147baee4f14cf8c9d80f23fac93c8ce00ee9aa71bf1da6a882036b8ad
- Size of remote file:
- 140 MB
- SHA256:
- 1770f2c354830303f28bed6b1929ae7c3a064e8d330b3579fc48d582af7ce65a
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