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:
- 866e4e5566ccff5a459fce338e21e0d4f28113dfcae849d27875aa44142e9379
- Size of remote file:
- 1.29 MB
- SHA256:
- a0e5fc8f0a5d1e78196c64cbc07778b2ad99ebd10ef14547a2a1160ab706e170
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