Sentence Similarity
sentence-transformers
ONNX
Safetensors
Morisyen
English
French
xlm-roberta
feature-extraction
mauritian-creole
kreol-morisien
matryoshka
mteb
Eval Results (legacy)
text-embeddings-inference
Instructions to use Singaraj/morisien-embed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Singaraj/morisien-embed with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Singaraj/morisien-embed") 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
MorisienMT relicensed to MIT
Browse files
README.md
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@@ -147,7 +147,7 @@ Limitations come from an internal adversarial audit of the released checkpoint.
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- **Data:** 35,064 unique, leak-free Creole↔{English, French} pairs — effectively all publicly
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available Mauritian Creole parallel text — merged from
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[MorisienMT](https://huggingface.co/datasets/prajdabre/
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[Kreyòl-MT](https://huggingface.co/datasets/jhu-clsp/kreyol-mt) (mixed licenses; used for training
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only, not redistributed). Every MorisienMT dev/test sentence is removed from training by exact
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matching and by a punctuation-, case- and accent-insensitive check.
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- **Data:** 35,064 unique, leak-free Creole↔{English, French} pairs — effectively all publicly
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available Mauritian Creole parallel text — merged from
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[MorisienMT](https://huggingface.co/datasets/prajdabre/KreolMorisienMT) (MIT) and
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[Kreyòl-MT](https://huggingface.co/datasets/jhu-clsp/kreyol-mt) (mixed licenses; used for training
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only, not redistributed). Every MorisienMT dev/test sentence is removed from training by exact
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matching and by a punctuation-, case- and accent-insensitive check.
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