Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:1027471
loss:CoSENTLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use philipp-zettl/MiniLM-amazon_massive_intent-similarity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use philipp-zettl/MiniLM-amazon_massive_intent-similarity with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("philipp-zettl/MiniLM-amazon_massive_intent-similarity") sentences = [ "watter dag is gedenkteken dag die jaar", "request news", "turn volume down", "request news" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!