Instructions to use arcee-ai/Trinity-Large-Thinking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arcee-ai/Trinity-Large-Thinking with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("arcee-ai/Trinity-Large-Thinking", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add community evaluation results for GPQA, MMLU-PRO, SWE-BENCH_VERIFIED
#4
by nielsr HF Staff - opened
This PR adds community-provided evaluation results for the following benchmarks:
These results were extracted from the model card. This is based on the new evaluation results feature.
Note: This is an automated PR. Please review the evaluation results before merging.
lckr changed pull request status to merged