Sentence Similarity
Safetensors
sentence-transformers
Amharic
PyLate
bert
ColBERT
feature-extraction
Generated from Trainer
dataset_size:76474
loss:Contrastive
Eval Results (legacy)
text-embeddings-inference
Instructions to use rasyosef/colbert-bert-amharic-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use rasyosef/colbert-bert-amharic-medium with sentence-transformers:
from pylate import models queries = [ "Which planet is known as the Red Planet?", "What is the largest planet in our solar system?", ] documents = [ ["Mars is the Red Planet.", "Venus is Earth's twin."], ["Jupiter is the largest planet.", "Saturn has rings."], ] model = models.ColBERT(model_name_or_path="rasyosef/colbert-bert-amharic-medium") queries_emb = model.encode(queries, is_query=True) docs_emb = model.encode(documents, is_query=False) - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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- **Models Collection:** https://huggingface.co/collections/rasyosef/amharic-text-embedding-models-679cb55eae1d498e3ac5bdc5
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- **Code:** https://github.com/kidist-amde/amharic-ir-benchmarks
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## Model Details
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- **Models Collection:** https://huggingface.co/collections/rasyosef/amharic-text-embedding-models-679cb55eae1d498e3ac5bdc5
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- **Code:** https://github.com/kidist-amde/amharic-ir-benchmarks
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- **Paper:** https://arxiv.org/abs/2505.19356
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## Model Details
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