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@@ -57,7 +57,7 @@ We compared the model against `all-minilm-l6-v2` from sbert and `text-embeddings
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  For more tasks and metrics, please checkout [MTEB](https://huggingface.co/spaces/mteb/leaderboard) benchmark.
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- ## Usage
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  ```python
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  !pip install finetuner[text]
@@ -66,6 +66,6 @@ model = finetuner.get_model('jinaai/jina-embedding-s-en-v1')
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  embeddings = model.encode(['sentence 1', 'sentence 2'])
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  ```
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- ## Fine-tuning
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  Please consider [Finetuner](https://github.com/jina-ai/finetuner).
 
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  For more tasks and metrics, please checkout [MTEB](https://huggingface.co/spaces/mteb/leaderboard) benchmark.
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+ ## Usage [WIP]
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  ```python
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  !pip install finetuner[text]
 
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  embeddings = model.encode(['sentence 1', 'sentence 2'])
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  ```
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+ ## Fine-tuning [WIP]
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  Please consider [Finetuner](https://github.com/jina-ai/finetuner).