Sentence Similarity
sentence-transformers
Safetensors
mpnet
feature-extraction
dataset_size:10K<n<100K
loss:CoSENTLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use hnguyentran03/mpnet-game with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use hnguyentran03/mpnet-game with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("hnguyentran03/mpnet-game") sentences = [ "Shooter", "First Person Shooter", "Life Sim", "Life Sim" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
File size: 349 Bytes
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