Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:35910
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use s-rahma/assistify-recommendation-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use s-rahma/assistify-recommendation-model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("s-rahma/assistify-recommendation-model") sentences = [ "Do you remember my name from last time?", "جهاز تركيز الأكسجين المحمول", "Nebulizer Machine", "Digital Thermometer" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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