Text Generation
PEFT
Safetensors
English
argument-mining
fact-checking
lora
qwen
distillation
conversational
Instructions to use properexit/ArgParser-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use properexit/ArgParser-v4 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, "properexit/ArgParser-v4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 23f5f85aa2e2e8ab9393b63bbf5f2c1aa2ff62eb42ef2a18c48fefb93b776e29
- Size of remote file:
- 4.79 kB
- SHA256:
- 4be76b5c9f2afb45095dadd0f44e49d0fa8d8d3689d3fc89a49da8c1c767e2df
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