Feature Extraction
sentence-transformers
Safetensors
xlm-roberta
sentence-similarity
dense-encoder
dense
telepix
text-embeddings-inference
Instructions to use telepix/PIXIE-Rune-Preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use telepix/PIXIE-Rune-Preview with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("telepix/PIXIE-Rune-Preview") 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
Update README.md
Browse files
README.md
CHANGED
|
@@ -173,7 +173,7 @@ The PIXIE-Rune-Preview model is licensed under Apache License 2.0.
|
|
| 173 |
```
|
| 174 |
@software{TelePIX-PIXIE-Rune-Preview,
|
| 175 |
title={PIXIE-Rune-Preview},
|
| 176 |
-
author={TelePIX AI Research Team},
|
| 177 |
year={2025},
|
| 178 |
url={https://huggingface.co/telepix/PIXIE-Rune-Preview}
|
| 179 |
}
|
|
|
|
| 173 |
```
|
| 174 |
@software{TelePIX-PIXIE-Rune-Preview,
|
| 175 |
title={PIXIE-Rune-Preview},
|
| 176 |
+
author={TelePIX AI Research Team and Bongmin Kim},
|
| 177 |
year={2025},
|
| 178 |
url={https://huggingface.co/telepix/PIXIE-Rune-Preview}
|
| 179 |
}
|