Text Generation
PEFT
Safetensors
English
argument-mining
fact-checking
information-extraction
lora
qwen2
research
conversational
Instructions to use iamjayeshc/ArgParser-v3-Qwen1.5B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use iamjayeshc/ArgParser-v3-Qwen1.5B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "iamjayeshc/ArgParser-v3-Qwen1.5B") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
bd29a71 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:02dee1f7b023631ffe53d0470c1f51f8e02b3e1f3fb9bd4482a83d122f8466b8
size 1293434
|