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New intent classification engine - MiniLM L6v2 and MiniLM L12v2 ONNX

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Priler 2026-02-08 07:16:03 +05:00
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---
license: apache-2.0
pipeline_tag: sentence-similarity
---
Quantized ONNX port of [sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2) for text classification and similarity searches.
### Usage
Here's an example of performing inference using the model with [FastEmbed](https://github.com/qdrant/fastembed).
```py
from fastembed import TextEmbedding
documents = [
"You should stay, study and sprint.",
"History can only prepare us to be surprised yet again.",
]
model = TextEmbedding(model_name="sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2")
embeddings = list(model.embed(documents))
# [
# array([1.96449570e-02, 1.60677675e-02, 4.10149433e-02...]),
# array([-1.56669170e-02, -1.66313536e-02, -6.84525725e-03...])
# ]
```