Text Retrieval
Safetensors
sentence-transformers
Amharic
PyLate
xlm-roberta
ColBERT
feature-extraction
Generated from Trainer
dataset_size:118938
loss:Contrastive
Eval Results (legacy)
Instructions to use rasyosef/colbert-amharic-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use rasyosef/colbert-amharic-base 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-amharic-base") queries_emb = model.encode(queries, is_query=True) docs_emb = model.encode(documents, is_query=False) - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signature6ea63e6 -
Update README.md
Verified signature9c7094d -
Improve model card: update pipeline tag, add paper and code links (#1)
- Improve model card: update pipeline tag, add paper and code links (6137966fef66943f9eed4478a26b9eae3e8f935c) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>64e352a
-
Update README.md
Verified signature782c3c0 -
Update README.md
Verified signaturefb598b8
-
Add new SentenceTransformer model
Verified signature66a2011 -
initial commit
Verified signatureac7fe0b