Text Retrieval
Safetensors
sentence-transformers
PyLate
xlm-roberta
ColBERT
feature-extraction
Generated from Trainer
dataset_size:118938
loss:Contrastive
Eval Results (legacy)
Instructions to use rasyosef/colbert-amharic-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use rasyosef/colbert-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-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
|
@@ -67,7 +67,7 @@ ColBERT(
|
|
| 67 |
First install the PyLate library:
|
| 68 |
|
| 69 |
```bash
|
| 70 |
-
pip install -U pylate
|
| 71 |
```
|
| 72 |
|
| 73 |
### Retrieval
|
|
|
|
| 67 |
First install the PyLate library:
|
| 68 |
|
| 69 |
```bash
|
| 70 |
+
pip install -U "pylate[voyager]"
|
| 71 |
```
|
| 72 |
|
| 73 |
### Retrieval
|