Sentence Similarity
sentence-transformers
ONNX
Safetensors
OpenVINO
multilingual
modernbert
embeddings
feature-extraction
matryoshka
retrieval
text-embeddings-inference
Instructions to use hotchpotch/bekko-embedding-v1-a25m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use hotchpotch/bekko-embedding-v1-a25m with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("hotchpotch/bekko-embedding-v1-a25m") 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] - Inference
- Notebooks
- Google Colab
- Kaggle
docs: add Bekko blog and paper links
Browse files
README.md
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You can also try bekko right in your browser: the [bekko-embedding-web](https://huggingface.co/spaces/hotchpotch/bekko-embedding-web) demo runs the model fully client-side with Transformers.js — no server involved.
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> [!NOTE]
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## Highlights
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The name pairs the protective spirit of the red ox with the quiet beauty of this classic amber tone.
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## Citation
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If you use bekko-embedding in your work, please cite:
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You can also try bekko right in your browser: the [bekko-embedding-web](https://huggingface.co/spaces/hotchpotch/bekko-embedding-web) demo runs the model fully client-side with Transformers.js — no server involved.
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> [!NOTE]
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> For a guided overview of the models, training recipe, and results, read [Bekko Embedding: how small can a multilingual retrieval model be?](https://huggingface.co/blog/hotchpotch/bekko-embedding).
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## Highlights
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The name pairs the protective spirit of the red ox with the quiet beauty of this classic amber tone.
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## Paper
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For full technical details, see [Bekko Embedding: Parameter-Efficient Multilingual Retrieval with Ultra-Compact Encoders](https://huggingface.co/papers/2607.25180).
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## Citation
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If you use bekko-embedding in your work, please cite:
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