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
| [ | |
| { | |
| "idx": 0, | |
| "name": "0", | |
| "path": "", | |
| "type": "sentence_transformers.models.Transformer" | |
| }, | |
| { | |
| "idx": 1, | |
| "name": "1", | |
| "path": "1_Pooling", | |
| "type": "sentence_transformers.models.Pooling" | |
| }, | |
| { | |
| "idx": 2, | |
| "name": "2", | |
| "path": "2_Normalize", | |
| "type": "sentence_transformers.models.Normalize" | |
| } | |
| ] |