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 SentenceTransformer model = SentenceTransformer("rasyosef/splade-amharic-base") 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
Download sentence_bert_config.json from rasyosef/splade-amharic-base: direct link, hf CLI and curl.
- Browser
- Download file 57 Bytes
-
https://huggingface.co/rasyosef/splade-amharic-base/resolve/main/sentence_bert_config.json
- Command line
-
hf download hf://rasyosef/splade-amharic-base/sentence_bert_config.json
-
curl -L -o sentence_bert_config.json https://huggingface.co/rasyosef/splade-amharic-base/resolve/main/sentence_bert_config.json
57 Bytes
| { | |
| "max_seq_length": 510, | |
| "do_lower_case": false | |
| } |