Sentence Similarity
sentence-transformers
Safetensors
English
bert
feature-extraction
Generated from Trainer
dataset_size:9023956
loss:CoSENTLoss
text-embeddings-inference
Instructions to use youssefkhalil320/all-MiniLM-L6-v24-pair_score with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use youssefkhalil320/all-MiniLM-L6-v24-pair_score with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("youssefkhalil320/all-MiniLM-L6-v24-pair_score") sentences = [ "parabenfree lip balm", "milton tshirt", "colorful lip stain", "sateen duvet cover" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
File size: 201 Bytes
c5f77af | 1 2 3 4 5 6 7 8 9 10 | {
"__version__": {
"sentence_transformers": "3.1.1",
"transformers": "4.45.2",
"pytorch": "2.4.1+cu118"
},
"prompts": {},
"default_prompt_name": null,
"similarity_fn_name": null
} |