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
Update README.md
Browse files
README.md
CHANGED
|
@@ -2,13 +2,20 @@
|
|
| 2 |
license: apache-2.0
|
| 3 |
tags:
|
| 4 |
- general and medical
|
|
|
|
|
|
|
|
|
|
| 5 |
datasets:
|
| 6 |
- Raderspace/MATH_qCoT_LLMquery_questionasquery_lexicalquery
|
| 7 |
metrics:
|
| 8 |
- accuracy
|
| 9 |
base_model:
|
| 10 |
- Qwen/Qwen3-Embedding-4B
|
| 11 |
-
pipeline_tag:
|
|
|
|
|
|
|
|
|
|
|
|
|
| 12 |
---
|
| 13 |
# Diver-Retriever-4B
|
| 14 |
|
|
|
|
| 2 |
license: apache-2.0
|
| 3 |
tags:
|
| 4 |
- general and medical
|
| 5 |
+
- medical
|
| 6 |
+
- code
|
| 7 |
+
- math
|
| 8 |
datasets:
|
| 9 |
- Raderspace/MATH_qCoT_LLMquery_questionasquery_lexicalquery
|
| 10 |
metrics:
|
| 11 |
- accuracy
|
| 12 |
base_model:
|
| 13 |
- Qwen/Qwen3-Embedding-4B
|
| 14 |
+
pipeline_tag: feature-extraction
|
| 15 |
+
language:
|
| 16 |
+
- zh
|
| 17 |
+
- en
|
| 18 |
+
library_name: transformers
|
| 19 |
---
|
| 20 |
# Diver-Retriever-4B
|
| 21 |
|