Instructions to use pkshatech/GLuCoSE-base-ja-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use pkshatech/GLuCoSE-base-ja-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("pkshatech/GLuCoSE-base-ja-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] - Inference
- Notebooks
- Google Colab
- Kaggle
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README.md
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@@ -139,7 +139,7 @@ Evaluated with [MIRACL-ja](https://huggingface.co/datasets/miracl/miracl), [JQAR
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| mE5-base | 0.3B | 84.2 | 47.2 | 25.4 |
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| GLuCoSE | 0.1B | 53.3 | 30.8 | 25.2 |
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| GLuCoSE v2 | 0.1B | *85.5* | *60.6* | *33.8* |
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### JMTEB
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Evaluated with [JMTEB](https://github.com/sbintuitions/JMTEB).
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| mE5-base | 0.3B | 84.2 | 47.2 | 25.4 |
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| GLuCoSE | 0.1B | 53.3 | 30.8 | 25.2 |
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| GLuCoSE v2 | 0.1B | **85.5** | **60.6** | **33.8** |
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### JMTEB
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Evaluated with [JMTEB](https://github.com/sbintuitions/JMTEB).
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