Sentence Similarity
sentence-transformers
PyTorch
bert
feature-extraction
mteb
Eval Results (legacy)
text-embeddings-inference
Instructions to use Research2NLP/electrical_stella with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Research2NLP/electrical_stella with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Research2NLP/electrical_stella") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a4b4bde69edff37e9ee627b51fe97c4a8b29dff944e195e6f2c212ee7177a84
- Size of remote file:
- 1.3 GB
- SHA256:
- 179d76d6f07714bd6b8d9627af8f837261040e083d660e9d56a5d8299d89640c
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