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
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README.md
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@@ -52,6 +52,7 @@ Our model, **telepix/PIXIE-Rune-v1.0**, achieves state-of-the-art performance ac
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| Model Name | # params | Avg. NDCG | NDCG@1 | NDCG@3 | NDCG@5 | NDCG@10 |
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| **telepix/PIXIE-Rune-v1.0** | 568M | **0.6905** | **0.6461** | **0.6859** | **0.7063** | **0.7238** |
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| nlpai-lab/KURE-v1 | 568M | 0.6751 | 0.6277 | 0.6725 | 0.6907 | 0.7095 |
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| dragonekue/BGE-m3-ko | 568M | 0.6658 | 0.6225 | 0.6627 | 0.6795 | 0.6985 |
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| Snowflake/snowflake-arctic-embed-l-v2.0 | 568M | 0.6592 | 0.6118 | 0.6542 | 0.6759 | 0.6949 |
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| Model Name | # params | Avg. NDCG | NDCG@1 | NDCG@3 | NDCG@5 | NDCG@10 |
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| **telepix/PIXIE-Rune-v1.0** | 568M | **0.5781** | **0.5691** | **0.5663** | **0.5791** | **0.5979** |
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| Snowflake/snowflake-arctic-embed-l-v2.0 | 568M | 0.5812 | 0.5725 | 0.5705 | 0.5811 | 0.6006 |
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| Qwen/Qwen3-Embedding-0.6B | 595M | 0.5558 | 0.5321 | 0.5451 | 0.5620 | 0.5839 |
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| Alibaba-NLP/gte-multilingual-base | 305M | 0.5541 | 0.5446 | 0.5426 | 0.5574 | 0.5746 |
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| Model Name | # params | Avg. NDCG | NDCG@1 | NDCG@3 | NDCG@5 | NDCG@10 |
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| **telepix/PIXIE-Rune-v1.0** | 568M | **0.6905** | **0.6461** | **0.6859** | **0.7063** | **0.7238** |
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| nlpai-lab/KURE-v1 | 568M | 0.6751 | 0.6277 | 0.6725 | 0.6907 | 0.7095 |
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| dragonekue/BGE-m3-ko | 568M | 0.6658 | 0.6225 | 0.6627 | 0.6795 | 0.6985 |
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| Snowflake/snowflake-arctic-embed-l-v2.0 | 568M | 0.6592 | 0.6118 | 0.6542 | 0.6759 | 0.6949 |
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| Model Name | # params | Avg. NDCG | NDCG@1 | NDCG@3 | NDCG@5 | NDCG@10 |
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| **telepix/PIXIE-Rune-v1.0** | 568M | **0.5781** | **0.5691** | **0.5663** | **0.5791** | **0.5979** |
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| Snowflake/snowflake-arctic-embed-l-v2.0 | 568M | 0.5812 | 0.5725 | 0.5705 | 0.5811 | 0.6006 |
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| Qwen/Qwen3-Embedding-0.6B | 595M | 0.5558 | 0.5321 | 0.5451 | 0.5620 | 0.5839 |
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| Alibaba-NLP/gte-multilingual-base | 305M | 0.5541 | 0.5446 | 0.5426 | 0.5574 | 0.5746 |
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