Sentence Similarity
sentence-transformers
PyTorch
deberta-v2
feature-extraction
Generated from Trainer
dataset_size:32500
loss:GISTEmbedLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use bobox/DeBERTa3-s-CustomPoolin-toytest3-step1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use bobox/DeBERTa3-s-CustomPoolin-toytest3-step1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("bobox/DeBERTa3-s-CustomPoolin-toytest3-step1") sentences = [ "Fish hatch into larvae that are different from the adult form of species.", "Fish hatch into larvae that are different from the adult form of?", "amphibians hatch from eggs", "A solenoid or coil wrapped around iron or certain other metals can form a(n) electromagnet." ] 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 about 1 year ago
by
SFconvertbot