Text Ranking
Transformers
Safetensors
Chinese
English
qwen3
text-generation
medical
code
math
reasoning
general
Instructions to use AQ-MedAI/Diver-Retriever-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AQ-MedAI/Diver-Retriever-4B with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("AQ-MedAI/Diver-Retriever-4B") model = AutoModelForCausalLM.from_pretrained("AQ-MedAI/Diver-Retriever-4B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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datasets:
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- Raderspace/MATH_qCoT_LLMquery_questionasquery_lexicalquery
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metrics:
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base_model:
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- general
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datasets:
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- Raderspace/MATH_qCoT_LLMquery_questionasquery_lexicalquery
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- reasonir/reasonir-data
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- truehealth/medqa
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metrics:
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base_model:
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