Reinforcement Learning
Transformers
Safetensors
qwen2
text-generation
grpo
combinatorial-optimization
code-generation
sds
icml-2026
text-generation-inference
Instructions to use IDEALLab/Qwen2.5-Coder-14B-Instruct-GRPO-SDS-Ablation-Oracle-seed202 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IDEALLab/Qwen2.5-Coder-14B-Instruct-GRPO-SDS-Ablation-Oracle-seed202 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("IDEALLab/Qwen2.5-Coder-14B-Instruct-GRPO-SDS-Ablation-Oracle-seed202") model = AutoModelForCausalLM.from_pretrained("IDEALLab/Qwen2.5-Coder-14B-Instruct-GRPO-SDS-Ablation-Oracle-seed202") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff206f79d3c0e627de7956b4ef37c2b8eeab5e83490ff04516bc674e4c1d6e77
- Size of remote file:
- 11.4 MB
- SHA256:
- 5eee858c5123a4279c3e1f7b81247343f356ac767940b2692a928ad929543214
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