Visual Document Retrieval
sentence-transformers
Safetensors
Arabic
qwen3_vl
sentence-similarity
feature-extraction
Generated from Trainer
dataset_size:48002
loss:MatryoshkaLoss
loss:CachedMultipleNegativesRankingLoss
Instructions to use Omartificial-Intelligence-Space/Qwen3-VL-Embedding-2B-Arabic-VDR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Omartificial-Intelligence-Space/Qwen3-VL-Embedding-2B-Arabic-VDR with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Omartificial-Intelligence-Space/Qwen3-VL-Embedding-2B-Arabic-VDR") sentences = [ "بناءً على ما يظهر في الصورة، كيف يمكن تفسير تكيف هذا الطائر مع بيئته الصخرية والصحراوية؟", "Fauna", "Flora", "Oman" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Upload finetuned Qwen3-VL-Embedding-2B Arabic VDR (1 epoch Pearl-vdr-ar, dev NDCG@10=0.109, test NDCG@10=0.115)
c7cd538 verified Download modules.json from Omartificial-Intelligence-Space/Qwen3-VL-Embedding-2B-Arabic-VDR: direct link, hf CLI and curl.
- Browser
- Download file 448 Bytes
-
https://huggingface.co/Omartificial-Intelligence-Space/Qwen3-VL-Embedding-2B-Arabic-VDR/resolve/main/modules.json
- Command line
-
hf download hf://Omartificial-Intelligence-Space/Qwen3-VL-Embedding-2B-Arabic-VDR/modules.json
-
curl -L -o modules.json https://huggingface.co/Omartificial-Intelligence-Space/Qwen3-VL-Embedding-2B-Arabic-VDR/resolve/main/modules.json
448 Bytes
| [ | |
| { | |
| "idx": 0, | |
| "name": "0", | |
| "path": "", | |
| "type": "sentence_transformers.base.modules.transformer.Transformer" | |
| }, | |
| { | |
| "idx": 1, | |
| "name": "1", | |
| "path": "1_Pooling", | |
| "type": "sentence_transformers.sentence_transformer.modules.pooling.Pooling" | |
| }, | |
| { | |
| "idx": 2, | |
| "name": "2", | |
| "path": "2_Normalize", | |
| "type": "sentence_transformers.sentence_transformer.modules.normalize.Normalize" | |
| } | |
| ] |