Text Generation
PEFT
Safetensors
qlora
trl
sft
qwen3
telecom
tmf921
3gpp
etsi-zsm
o-ran
camara
network-slicing
intent-based-networking
json-generation
research-baseline
conversational
Instructions to use nraptisss/Qwen3-8B-TMF921-Intent-QLoRA-qwen3-8b-qlora-20260501-083834 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nraptisss/Qwen3-8B-TMF921-Intent-QLoRA-qwen3-8b-qlora-20260501-083834 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-8B") model = PeftModel.from_pretrained(base_model, "nraptisss/Qwen3-8B-TMF921-Intent-QLoRA-qwen3-8b-qlora-20260501-083834") - Notebooks
- Google Colab
- Kaggle
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