Text Retrieval
sentence-transformers
Safetensors
Amharic
xlm-roberta
sparse-encoder
sparse
splade
Generated from Trainer
dataset_size:245876
loss:SpladeLoss
loss:SparseMultipleNegativesRankingLoss
loss:FlopsLoss
Eval Results (legacy)
Instructions to use rasyosef/splade-amharic-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use rasyosef/splade-amharic-base with sentence-transformers:
from sentence_transformers import SparseEncoder model = SparseEncoder("rasyosef/splade-amharic-base") queries = ["Which planet is known as the Red Planet?"] documents = [ "Venus is often called Earth's twin because of its similar size and proximity.", "Mars, known for its reddish appearance, is often referred to as the Red Planet.", "Jupiter, the largest planet in our solar system, has a prominent red spot.", ] query_embeddings = model.encode_query(queries) document_embeddings = model.encode_document(documents) similarities = model.similarity(query_embeddings, document_embeddings) print(similarities) - Notebooks
- Google Colab
- Kaggle
Improve model card: add paper link, code link, and update pipeline tag
#1
by nielsr HF Staff - opened
Hi! I'm Niels, part of the community science team at Hugging Face.
This PR improves the model card for SPLADE-Amharic-Base by:
- Updating the
pipeline_tagtotext-retrievalto better reflect its purpose in passage retrieval. - 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 for the project.
- Including the BibTeX citation for the paper.
Thanks for the great work on Amharic IR!
rasyosef changed pull request status to merged