Sentence Similarity
sentence-transformers
Safetensors
English
bert
feature-extraction
Generated from Trainer
dataset_size:50
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use Hyperakan/all-MiniLM-L6-v2-smoke with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Hyperakan/all-MiniLM-L6-v2-smoke with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Hyperakan/all-MiniLM-L6-v2-smoke") sentences = [ "Two men on bicycles competing in a race.", "People are riding bikes.", "A woman is doing a cartwheel.", "A few people are catching fish." ] 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!