Sentence Similarity
sentence-transformers
Safetensors
mpnet
feature-extraction
Generated from Trainer
dataset_size:5749
loss:CosineSimilarityLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use csjo24003/software-15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use csjo24003/software-15 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("csjo24003/software-15") sentences = [ "Young woman in riding gear on top of horse.", "Italy’s centre-left splinters in presidential vote", "The woman is riding on the brown horse.", "Mali's Interim President Sworn Into Office" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Ctrl+K