Sentence Similarity
sentence-transformers
Safetensors
new
feature-extraction
Generated from Trainer
dataset_size:1432
loss:MultipleNegativesRankingLoss
custom_code
text-embeddings-inference
Instructions to use ElijahDevPH/gte-epoch-8-fast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ElijahDevPH/gte-epoch-8-fast with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ElijahDevPH/gte-epoch-8-fast", trust_remote_code=True) sentences = [ "Forklift or heavy equipment awareness", "Queue Management", "Employee Support", "Tool and Material Controller: Managed inventory tracking, recording, and stock levels for tools and materials supporting production. Coordinated with suppliers and purchasing" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Ctrl+K