Sentence Similarity
sentence-transformers
Safetensors
English
deberta-v2
feature-extraction
Generated from Trainer
dataset_size:225247
loss:CachedGISTEmbedLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use bobox/DeBERTa3-s-CustomPoolin-v3-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-v3-step1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("bobox/DeBERTa3-s-CustomPoolin-v3-step1") sentences = [ "what is exfo toolbox", "Eye dilation from eye drops used for examination of the eye usually lasts from 4 to 24 hours, depending upon the strength of the drop and upon the individual patient.", "Garden Grove is a city in northern Orange County in the U.S. state of California, 34 miles (55 km) south of Los Angeles. The population was 170,883 at the 2010 United States Census. State Route 22, also known as the Garden Grove Freeway, passes through the city in an east-west direction.", "EXFO ToolBox Office is a product that offers you a collection of viewers and analyzers. It enables you to manage and analyze results acquired from fiber optic test modules and instruments." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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