Sentence Similarity
sentence-transformers
Safetensors
English
bert
feature-extraction
Generated from Trainer
dataset_size:100000
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Instructions to use jaswanthsanjay88/mini_embedding_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use jaswanthsanjay88/mini_embedding_lora with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("jaswanthsanjay88/mini_embedding_lora") sentences = [ "the three boys are all holding onto a flotation device in the water.", "Three boys are in a body of water.", "A school band is playing.", "There is an animal in water" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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