Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:453
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Instructions to use saraleivam/GURU-trained-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use saraleivam/GURU-trained-model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("saraleivam/GURU-trained-model") sentences = [ "Introduction to blockchain technology.", "Desarrollador de software con experiencia en APIs RESTful", "Graphic designer with Adobe Illustrator skills.", "Blockchain developer with smart contract experience." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Ctrl+K