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
Improve model card: update pipeline tag, add paper and code links
#1
by nielsr HF Staff - opened
This PR improves the model card by:
- Updating the
pipeline_tagtotext-retrievalfor better discoverability. - Adding a link to the associated paper: The Multilingual Curse at the Retrieval Layer: Evidence from Amharic.
- Adding a link to the official GitHub repository.
- Updating the usage section based on the official documentation in the GitHub README.
rasyosef changed pull request status to merged