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:
# pip install -U transformers accelerate # 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
Upload diver_retriever_framework_1.png
Browse files- .gitattributes +1 -0
- diver_retriever_framework_1.png +3 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
diver_retriever_framework_1.png filter=lfs diff=lfs merge=lfs -text
|
diver_retriever_framework_1.png
ADDED
|
Git LFS Details
|