Text Ranking
Transformers
Safetensors
English
qwen2
text-generation
judge-model
evaluation
reward-modeling
Instructions to use opencompass/CompassJudger-2-32B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use opencompass/CompassJudger-2-32B-Instruct with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("opencompass/CompassJudger-2-32B-Instruct") model = AutoModelForCausalLM.from_pretrained("opencompass/CompassJudger-2-32B-Instruct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Update pipeline tag to text-ranking and add descriptive tags (#3)
Verified signature- Update pipeline tag to text-ranking and add descriptive tags (b38f9139057875a729ef5f4606a83fa74fce66ad) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>1e586e1
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Add pipeline_tag, library_name, and paper link to metadata (#2)
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Update README.md (#1)
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