|
--- |
|
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...]) |
|
# ] |
|
``` |
