Feature Extraction
sentence-transformers
PyTorch
English
bert
mteb
Eval Results (legacy)
text-embeddings-inference
Instructions to use ggrn/e5-small-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ggrn/e5-small-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ggrn/e5-small-v2") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
Commit History
-
add sentence transformers configs (#4)
- sbert.net (67a456de1d77c6159603f4bad4a2fe6b12d8bcda) - update readme (0f45e2944ec95914b340972ad1b9bd6d66ef6c70) - add python example (a68bac4365867eaf42a3ac2e2530cd379479c056)7f5bd82