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README.md
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@@ -3,33 +3,4 @@ license: apache-2.0
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pipeline_tag: sentence-similarity
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---
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ONNX port of [thenlper/gte-
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### Usage
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Here's an example of performing inference using the model with [FastEmbed](https://github.com/qdrant/fastembed).
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```py
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from fastembed import TextEmbedding
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documents = [
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"You should stay, study and sprint.",
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"History can only prepare us to be surprised yet again.",
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]
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model = TextEmbedding(model_name="thenlper/gte-large")
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embeddings = list(model.embed(documents))
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# [
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# array([
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# 0.00611658, 0.00068912, -0.0203846, ..., -0.01751488, -0.01174267,
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# 0.01463472
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# ],
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# dtype=float32),
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# array([
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# 0.00173448, -0.00329958, 0.01557874, ..., -0.01473586, 0.0281806,
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# -0.00448205
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# ],
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# dtype=float32)
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# ]
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```
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pipeline_tag: sentence-similarity
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---
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ONNX port of [thenlper/gte-base](https://huggingface.co/thenlper/gte-base) text classification and similarity searches.
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