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---
license: apache-2.0
pipeline_tag: sentence-similarity
---
ONNX port of [thenlper/gte-large](https://huggingface.co/thenlper/gte-large) 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="thenlper/gte-large")
embeddings = list(model.embed(documents))
# [
# array([
# 0.00611658, 0.00068912, -0.0203846, ..., -0.01751488, -0.01174267,
# 0.01463472
# ],
# dtype=float32),
# array([
# 0.00173448, -0.00329958, 0.01557874, ..., -0.01473586, 0.0281806,
# -0.00448205
# ],
# dtype=float32)
# ]
``` |