docs: add namespace to artifact names #649
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This PR exceeds the recommended size of 1000 lines. Please make sure you are NOT addressing multiple issues with one PR. Note this PR might be rejected due to its size. |
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This PR exceeds the recommended size of 1000 lines. Please make sure you are NOT addressing multiple issues with one PR. Note this PR might be rejected due to its size. |
| !pip install 'finetuner[full]' | ||
| ```python id="9261d0a7-ad6d-461f-bdf7-54e9804cc45d" | ||
| !pip install finetuner |
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A code block towards the end uses the encode method, do we not need 'finetuner[full]' for that?
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Good catch! Not sure why this was changed
docs/notebooks/image_to_image.md
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| On the other hand, there are also cases where the fine-tuned model performs worse, and fails to correctly match images that it previously could. This case is much rarer than the the previous case. For this dataset there were 108 occasions where the fine-tuned model returned the correct pair where it couldn't before, and only 33 occasions where the the finetuned model returned an incorrect image after fine-tuning but returned a correct one before. Nevertheless it still can happen: |
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| On the other hand, there are also cases where the fine-tuned model performs worse, and fails to correctly match images that it previously could. This case is much rarer than the the previous case. For this dataset there were 108 occasions where the fine-tuned model returned the correct pair where it couldn't before, and only 33 occasions where the the finetuned model returned an incorrect image after fine-tuning but returned a correct one before. Nevertheless it still can happen: | |
| On the other hand, there are also cases where the fine-tuned model performs worse, and fails to correctly match images that it previously could. This case is much rarer than the previous case. For this dataset there were 108 occasions where the fine-tuned model returned the correct pair where it couldn't before, and only 33 occasions where the finetuned model returned an incorrect image after fine-tuning but returned a correct one before. Nevertheless it still can happen: |
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This PR exceeds the recommended size of 1000 lines. Please make sure you are NOT addressing multiple issues with one PR. Note this PR might be rejected due to its size. |
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📝 Docs are deployed on https://ft-docs-add-artifact-namespaces--jina-docs.netlify.app 🎉 |
Add namespace to artifact names in the documentation
Updates all artifact names in the documentation and the README to include the namespace prefix
finetuner.Contains some changes from #643, because the notbooks already contain them.