Sentence Similarity
sentence-transformers
Safetensors
gemma3_text
feature-extraction
Generated from Trainer
dataset_size:3485841
loss:CachedMultipleNegativesRankingLoss
text-embeddings-inference
🇪🇺 Region: EU
Instructions to use NbAiLab/borealis-embed-212m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use NbAiLab/borealis-embed-212m with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("NbAiLab/borealis-embed-212m") 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] - Inference
- Notebooks
- Google Colab
- Kaggle
Download borealis.png from NbAiLab/borealis-embed-212m: direct link, hf CLI and curl.
- Browser
- Download file 778 kB
-
https://huggingface.co/NbAiLab/borealis-embed-212m/resolve/main/borealis.png
- Command line
-
hf download hf://NbAiLab/borealis-embed-212m/borealis.png
-
curl -L -o borealis.png https://huggingface.co/NbAiLab/borealis-embed-212m/resolve/main/borealis.png
778 kB

- Xet hash:
- d88891e6aecbeed7218334fd65da9ccd86c961622ce4d45cd5c13efbe9fcf122
- Size of remote file:
- 778 kB
- SHA256:
- 5e6d03db57f4f12b359910620c4ba80b70f4fe0711d8125600434663137eb528
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