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@Omartificial-Intelligence-Space
Omartificial-Intelligence-Space
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 has trained and released 6 Arabic embedding models for semantic similarity. 4 of them outperform all previous models on the STS17 Arabic-Arabic task! 
 has trained and released 6 Arabic embedding models for semantic similarity. 4 of them outperform all previous models on the STS17 Arabic-Arabic task! 
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📚 Trained on a large dataset of 558k Arabic triplets translated from the AllNLI triplet dataset: 
📚 Trained on a large dataset of 558k Arabic triplets translated from the AllNLI triplet dataset: 
resource
https://huggingface.co/datasets/Omartificial-Intelligence-Space/Arabic-NLi-Triplet
dataset
Omartificial-Intelligence-Space/Arabic-NLi-Triplet
https://huggingface.co/datasets/Omartificial-Intelligence-Space/Arabic-NLi-Triplet
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6️⃣ 6 different base models: AraBERT, MarBERT, LaBSE, MiniLM, paraphrase-multilingual-mpnet-base, mpnet-base, ranging from 109M to 471M parameters.
6️⃣ 6 different base models: AraBERT, MarBERT, LaBSE, MiniLM, paraphrase-multilingual-mpnet-base, mpnet-base, ranging from 109M to 471M parameters.
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🪆 Trained with a Matryoshka loss, allowing you to truncate embeddings with minimal performance loss: smaller embeddings are faster to compare.
🪆 Trained with a Matryoshka loss, allowing you to truncate embeddings with minimal performance loss: smaller embeddings are faster to compare.
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📈 Outperforms all commonly used multilingual models like 
📈 Outperforms all commonly used multilingual models like 
resource
https://huggingface.co/intfloat/multilingual-e5-large
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intfloat/multilingual-e5-large
https://huggingface.co/intfloat/multilingual-e5-large
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, 
, 
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https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2
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sentence-transformers/paraphrase-multilingual-mpnet-base-v2
https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2
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, and 
, and 
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https://huggingface.co/sentence-transformers/LaBSE
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sentence-transformers/LaBSE
https://huggingface.co/sentence-transformers/LaBSE
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.
.
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Check them out here:
Check them out here:
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- 
- 
resource
https://huggingface.co/Omartificial-Intelligence-Space/Arabic-mpnet-base-all-nli-triplet
model
Omartificial-Intelligence-Space/Arabic-mpnet-base-all-nli-triplet
https://huggingface.co/Omartificial-Intelligence-Space/Arabic-mpnet-base-all-nli-triplet
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- 
- 
resource
https://huggingface.co/Omartificial-Intelligence-Space/Arabic-all-nli-triplet-Matryoshka
model
Omartificial-Intelligence-Space/Arabic-all-nli-triplet-Matryoshka
https://huggingface.co/Omartificial-Intelligence-Space/Arabic-all-nli-triplet-Matryoshka
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- 
- 
resource
https://huggingface.co/Omartificial-Intelligence-Space/Arabert-all-nli-triplet-Matryoshka
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Omartificial-Intelligence-Space/Arabert-all-nli-triplet-Matryoshka
https://huggingface.co/Omartificial-Intelligence-Space/Arabert-all-nli-triplet-Matryoshka
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- 
- 
resource
https://huggingface.co/Omartificial-Intelligence-Space/Arabic-labse-Matryoshka
model
Omartificial-Intelligence-Space/Arabic-labse-Matryoshka
https://huggingface.co/Omartificial-Intelligence-Space/Arabic-labse-Matryoshka
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- 
- 
resource
https://huggingface.co/Omartificial-Intelligence-Space/Marbert-all-nli-triplet-Matryoshka
model
Omartificial-Intelligence-Space/Marbert-all-nli-triplet-Matryoshka
https://huggingface.co/Omartificial-Intelligence-Space/Marbert-all-nli-triplet-Matryoshka
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- 
- 
resource
https://huggingface.co/Omartificial-Intelligence-Space/Arabic-MiniLM-L12-v2-all-nli-triplet
model
Omartificial-Intelligence-Space/Arabic-MiniLM-L12-v2-all-nli-triplet
https://huggingface.co/Omartificial-Intelligence-Space/Arabic-MiniLM-L12-v2-all-nli-triplet
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Or the collection with all: 
Or the collection with all: 
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https://huggingface.co/collections/Omartificial-Intelligence-Space/arabic-matryoshka-embedding-models-666f764d3b570f44d7f77d4e
collection
Omartificial-Intelligence-Space/arabic-matryoshka-embedding-models-666f764d3b570f44d7f77d4e
https://huggingface.co/collections/Omartificial-Intelligence-Space/arabic-matryoshka-embedding-models-666f764d3b570f44d7f77d4e
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My personal favourite is likely 
My personal favourite is likely 
resource
https://huggingface.co/Omartificial-Intelligence-Space/Arabert-all-nli-triplet-Matryoshka
model
Omartificial-Intelligence-Space/Arabert-all-nli-triplet-Matryoshka
https://huggingface.co/Omartificial-Intelligence-Space/Arabert-all-nli-triplet-Matryoshka
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: a very efficient 135M parameters & scores #1 on 
: a very efficient 135M parameters & scores #1 on 
resource
https://huggingface.co/spaces/mteb/leaderboard
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mteb/leaderboard
https://huggingface.co/spaces/mteb/leaderboard
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.
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@Omartificial-Intelligence-Space has trained and released 6 Arabic embedding models for semantic similarity. 4 of them outperform all previous models on the STS17 Arabic-Arabic task! 

📚 Trained on a large dataset of 558k Arabic triplets translated from the AllNLI triplet dataset: https://huggingface.co/datasets/Omartificial-Intelligence-Space/Arabic-NLi-Triplet
6️⃣ 6 different base models: AraBERT, MarBERT, LaBSE, MiniLM, paraphrase-multilingual-mpnet-base, mpnet-base, ranging from 109M to 471M parameters.
🪆 Trained with a Matryoshka loss, allowing you to truncate embeddings with minimal performance loss: smaller embeddings are faster to compare.
📈 Outperforms all commonly used multilingual models like https://huggingface.co/intfloat/multilingual-e5-large, https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2, and https://huggingface.co/sentence-transformers/LaBSE.

Check them out here:
- https://huggingface.co/Omartificial-Intelligence-Space/Arabic-mpnet-base-all-nli-triplet
- https://huggingface.co/Omartificial-Intelligence-Space/Arabic-all-nli-triplet-Matryoshka
- https://huggingface.co/Omartificial-Intelligence-Space/Arabert-all-nli-triplet-Matryoshka
- https://huggingface.co/Omartificial-Intelligence-Space/Arabic-labse-Matryoshka
- https://huggingface.co/Omartificial-Intelligence-Space/Marbert-all-nli-triplet-Matryoshka
- https://huggingface.co/Omartificial-Intelligence-Space/Arabic-MiniLM-L12-v2-all-nli-triplet
Or the collection with all: https://huggingface.co/collections/Omartificial-Intelligence-Space/arabic-matryoshka-embedding-models-666f764d3b570f44d7f77d4e

My personal favourite is likely https://huggingface.co/Omartificial-Intelligence-Space/Arabert-all-nli-triplet-Matryoshka: a very efficient 135M parameters & scores #1 on https://huggingface.co/spaces/mteb/leaderboard.

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Omartificial Intelligence Space
Omartificial-Intelligence-Space
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