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