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
Download vocab.json from cometadata/funding-extraction-qwen3.5-9B-non-thinking-artifact-data-mix-grpo-mixed-reward: direct link, hf CLI and curl.
- Browser
- Download file 5.23 MB
-
https://huggingface.co/cometadata/funding-extraction-qwen3.5-9B-non-thinking-artifact-data-mix-grpo-mixed-reward/resolve/main/vocab.json
- Command line
-
hf download hf://cometadata/funding-extraction-qwen3.5-9B-non-thinking-artifact-data-mix-grpo-mixed-reward/vocab.json
-
curl -L -o vocab.json https://huggingface.co/cometadata/funding-extraction-qwen3.5-9B-non-thinking-artifact-data-mix-grpo-mixed-reward/resolve/main/vocab.json
5.23 MB
File too large to display, you can check the raw version instead.