Sentence Similarity
sentence-transformers
PyTorch
English
deberta-v2
feature-extraction
Generated from Trainer
dataset_size:5749
loss:AnglELoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use bobox/DeBERTa2-0.9B-ST-stsb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use bobox/DeBERTa2-0.9B-ST-stsb with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("bobox/DeBERTa2-0.9B-ST-stsb") sentences = [ "Left side of a silver train engine.", "A close-up of a black train engine.", "Two boys are in midair jumping into an inground pool.", "An older Asian couple poses with a newborn baby at the dinner table." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot