Sentence Similarity
Safetensors
sentence-transformers
Amharic
PyLate
bert
ColBERT
feature-extraction
Generated from Trainer
dataset_size:76474
loss:Contrastive
Eval Results (legacy)
text-embeddings-inference
Instructions to use rasyosef/colbert-bert-amharic-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use rasyosef/colbert-bert-amharic-medium 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-bert-amharic-medium") queries_emb = model.encode(queries, is_query=True) docs_emb = model.encode(documents, is_query=False) - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -20,8 +20,8 @@ model-index:
|
|
| 20 |
type: col-berttriplet
|
| 21 |
name: Col BERTTriplet
|
| 22 |
dataset:
|
| 23 |
-
name: amharic-
|
| 24 |
-
type: amharic-
|
| 25 |
metrics:
|
| 26 |
- type: mrr@10
|
| 27 |
value: 0.806
|
|
@@ -44,7 +44,7 @@ model-index:
|
|
| 44 |
language:
|
| 45 |
- am
|
| 46 |
datasets:
|
| 47 |
-
- rasyosef/amharic-
|
| 48 |
---
|
| 49 |
|
| 50 |
# PyLate model based on rasyosef/bert-medium-amharic
|
|
|
|
| 20 |
type: col-berttriplet
|
| 21 |
name: Col BERTTriplet
|
| 22 |
dataset:
|
| 23 |
+
name: amharic-passage-retrieval-dataset
|
| 24 |
+
type: amharic-passage-retrieval-dataset
|
| 25 |
metrics:
|
| 26 |
- type: mrr@10
|
| 27 |
value: 0.806
|
|
|
|
| 44 |
language:
|
| 45 |
- am
|
| 46 |
datasets:
|
| 47 |
+
- rasyosef/amharic-passage-retrieval-dataset
|
| 48 |
---
|
| 49 |
|
| 50 |
# PyLate model based on rasyosef/bert-medium-amharic
|