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-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use rasyosef/splade-amharic-medium with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("rasyosef/splade-amharic-medium") 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
Improve model card: update pipeline tag and add paper/code links
#1
by nielsr HF Staff - opened
This PR improves the model card for SPLADE-Amharic-Medium by:
- Updating the
pipeline_tagfromfeature-extractiontotext-retrievalfor better discoverability. - Linking the model to the research paper: The Multilingual Curse at the Retrieval Layer: Evidence from Amharic.
- Adding a link to the official GitHub repository for the project.
- Correcting the dataset metadata in the model index.
rasyosef changed pull request status to merged