Sentence Similarity
sentence-transformers
Safetensors
Greek
English
ministral3
greek
english
retrieval
rag
embeddings
nemotron
Eval Results (legacy)
Instructions to use KIEFERSA/Sophea-Nemo-Embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use KIEFERSA/Sophea-Nemo-Embedding with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("KIEFERSA/Sophea-Nemo-Embedding") 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
Download base_vs_ft.png from KIEFERSA/Sophea-Nemo-Embedding: direct link, hf CLI and curl.
- Browser
- Download file 50.7 kB
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https://huggingface.co/KIEFERSA/Sophea-Nemo-Embedding/resolve/main/base_vs_ft.png
- Command line
-
hf download hf://KIEFERSA/Sophea-Nemo-Embedding/base_vs_ft.png
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curl -L -o base_vs_ft.png https://huggingface.co/KIEFERSA/Sophea-Nemo-Embedding/resolve/main/base_vs_ft.png
50.7 kB
