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Merge branch 'docs-document-multilingual-CLIP' of https://github.com/…
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lmilliken committed Nov 24, 2022
2 parents 3b400bc + 29cb2f6 commit eeacfbf
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2 changes: 1 addition & 1 deletion docs/notebooks/multilingual_text_to_image.ipynb
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"metadata": {},
"source": [
"## Before and After\n",
"We can directly compare the results of our fine-tuned model with an untrained multilingual clip model by displaying the matches each model has for the same query, while the difference between the results of the two models are quite similar for some queries, the examples below clearly show that finetuning increses the quality of the search results:"
"We can directly compare the results of our fine-tuned model with an untrained multilingual clip model by displaying the matches each model has for the same query, while the differences between the results of the two models are quite subtle for some queries, the examples below clearly show that finetuning increses the quality of the search results:"
]
},
{
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2 changes: 1 addition & 1 deletion docs/notebooks/multilingual_text_to_image.md
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Expand Up @@ -189,7 +189,7 @@ please use `model = finetuner.get_model(artifact, is_onnx=True)`
<!-- #endregion -->

## Before and After
We can directly compare the results of our fine-tuned model with an untrained multilingual clip model by displaying the matches each model has for the same query, while the difference between the results of the two models are quite similar for some queries, the examples below clearly show that finetuning increses the quality of the search results:
We can directly compare the results of our fine-tuned model with an untrained multilingual clip model by displaying the matches each model has for the same query, while the differences between the results of the two models are quite subtle for some queries, the examples below clearly show that finetuning increses the quality of the search results:

<!-- #region -->
```python
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