Sentence Similarity
sentence-transformers
Safetensors
t5
feature-extraction
Generated from Trainer
dataset_size:2640
loss:MultipleNegativesRankingLoss
loss:CosineSimilarityLoss
custom_code
Eval Results (legacy)
Instructions to use 1shoomun/pq_cache_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use 1shoomun/pq_cache_3 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("1shoomun/pq_cache_3", trust_remote_code=True) sentences = [ "Can you tell me how my portfolio did last week?", "Suggest recommendations for me", "Do you have any insights on my portfolio", "How did my portfolio perform last week ?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Ctrl+K