Sentence Similarity
sentence-transformers
Safetensors
Arabic
English
qwen3
feature-extraction
Generated from Trainer
loss:MatryoshkaLoss
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Instructions to use Omartificial-Intelligence-Space/Semantic-Ar-Qwen-Embed-0.6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Omartificial-Intelligence-Space/Semantic-Ar-Qwen-Embed-0.6B with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Omartificial-Intelligence-Space/Semantic-Ar-Qwen-Embed-0.6B") sentences = [ "أقترح أن تجد بنكًا في بلدك المحلي، وأن تفكر في فتح حساب مصرفي مقوم باليورو لديهم.", "يمكنك مزج هذه الأمور، ولكن من تجربتي، سيكون الأمر صعبًا جدًا في البداية.", "المرأة تضع ظلال العيون بقلم.", "لست متأكدًا مما إذا كان بإمكانك فتح حساب مصرفي في فرنسا إذا لم تكن مقيمًا." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Omartificial-Intelligence-Space/Semantic-Ar-Qwen-Embed-0.6B compatibility question
#1
by dqdw - opened
Dear [Developer/Team],
I recently came across Omartificial-Intelligence-Space/Semantic-Ar-Qwen-Embed-0.6B, and it has been very helpful in my project.
I'm planning to use it as a base, so I need to confirm its relation with Qwen/Qwen3-Embedding-0.6B:
Direct Fine-tuning: Can I assume Omartificial-Intelligence-Space/Semantic-Ar-Qwen-Embed-0.6B is directly fine-tuned from Qwen/Qwen3-Embedding-0.6B, or not?
Inheritance: Does it strictly inherit the architecture and weights of Qwen/Qwen3-Embedding-0.6B without merging or distilling from other models?
This clarification would help me avoid compatibility issues.
Thanks a lot for your help!