Text Generation
PEFT
Safetensors
English
funding-extraction
lora
grpo
rl
scholarly-metadata
conversational
Instructions to use cometadata/funding-extraction-qwen3.5-9B-non-thinking-artifact-data-mix-grpo-mixed-reward with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cometadata/funding-extraction-qwen3.5-9B-non-thinking-artifact-data-mix-grpo-mixed-reward with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-9B") model = PeftModel.from_pretrained(base_model, "cometadata/funding-extraction-qwen3.5-9B-non-thinking-artifact-data-mix-grpo-mixed-reward") - Notebooks
- Google Colab
- Kaggle