Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
dataset_size:10K<n<100K
loss:CosineSimilarityLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use marrodion/minilm-l12-v2-simple with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use marrodion/minilm-l12-v2-simple with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("marrodion/minilm-l12-v2-simple") sentences = [ "How does ZBo do it", "That s how you do it RYU", "Calum you need to follow me ok", "fricken calum follow me im upset" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Ctrl+K