docs: add inference section #529

bwanglzu · 2022-09-08T12:14:43Z

Improve three examples with inference section: https://ft-docs-improve-examples--jina-docs.netlify.app/docs-improve-examples/tasks/text-to-text/#inference

This PR references an open issue
I have added a line about this change to CHANGELOG

gmastrapas · 2022-09-08T13:20:35Z

docs/tasks/image-to-image.md

+```
+
+That's it! If you want to integrate fine-tuned model into your Jina Flow, please check out {ref}`integrated with the Jina ecosystem <integrate-with-jina>`.


integrate the

gmastrapas · 2022-09-08T13:21:03Z

docs/tasks/text-to-text.md

+print(test_da.embeddings)
+```
+
+That's it! If you want to integrate fine-tuned model into your Jina Flow, please check out {ref}`integrated with the Jina ecosystem <integrate-with-jina>`.


integrate the

gmastrapas · 2022-09-08T13:21:12Z

docs/tasks/text-to-image.md

+Check out [clip-as-service](https://clip-as-service.jina.ai/user-guides/finetuner/?highlight=finetuner#fine-tune-models) to know how to plug-in fine-tuned model there.
+
+That's it! If you want to integrate fine-tuned model into your Jina Flow, please check out {ref}`integrated with the Jina ecosystem <integrate-with-jina>`.


integrate the

gmastrapas · 2022-09-08T13:21:57Z

docs/tasks/text-to-image.md

+```
+
+Check out [clip-as-service](https://clip-as-service.jina.ai/user-guides/finetuner/?highlight=finetuner#fine-tune-models) to know how to plug-in fine-tuned model there.


to learn how to plug-in a finetuned CLIP model to our CLIP specific service.

gmastrapas · 2022-09-08T13:22:19Z

docs/tasks/text-to-image.md

+When fine-tuning CLIP, we are fine-tuning the CLIPVisionEncoder and CLIPTextEncoder in parallel.
+The artifact contains two models: `clip-vision` and `clip-text`.
+The parameter `select_model` tells finetune which model to use for inference, in the above example,


gmastrapas · 2022-09-08T13:22:28Z

docs/tasks/text-to-image.md

+The artifact contains two models: `clip-vision` and `clip-text`.
+The parameter `select_model` tells finetune which model to use for inference, in the above example,
+we use `clip-text` to encode a Document with text.


with text content

gmastrapas · 2022-09-08T13:22:42Z

docs/tasks/text-to-image.md

+
+Now you saved the `artifact` into your host machine,
+let's use fine-tuned model to encode a new `Document`.


use the fine-tuned model

gmastrapas · 2022-09-08T13:22:53Z

docs/tasks/image-to-image.md

+
+Now you saved the `artifact` into your host machine,
+let's use fine-tuned model to encode a new `Document`.


gmastrapas · 2022-09-08T13:23:23Z

docs/tasks/text-to-text.md

+## Inference
+
+Now you saved the `artifact` into your host machine,
+let's use fine-tuned model to encode a new `Document`.


guenthermi

added some minor grammatical suggestions

guenthermi · 2022-09-08T13:20:36Z

docs/tasks/image-to-image.md

+
+Now you saved the `artifact` into your host machine,
+let's use fine-tuned model to encode a new `Document`.


Suggested change

let's use fine-tuned model to encode a new `Document`.

let's use the fine-tuned model to encode a new `Document`:

guenthermi · 2022-09-08T13:22:55Z

docs/tasks/image-to-image.md

+```
+
+That's it! If you want to integrate fine-tuned model into your Jina Flow, please check out {ref}`integrated with the Jina ecosystem <integrate-with-jina>`.


Suggested change

That's it! If you want to integrate fine-tuned model into your Jina Flow, please check out {ref}`integrated with the Jina ecosystem <integrate-with-jina>`.

That's it! If you want to integrate a fine-tuned model into your Jina Flow, please check out {ref}`integrated with the Jina ecosystem <integrate-with-jina>`.

guenthermi · 2022-09-08T13:24:37Z

docs/tasks/text-to-image.md

+
+Now you saved the `artifact` into your host machine,
+let's use fine-tuned model to encode a new `Document`.


Suggested change

let's use fine-tuned model to encode a new `Document`.

let's use the fine-tuned model to encode a new `Document`.

guenthermi · 2022-09-08T13:25:55Z

docs/tasks/text-to-image.md

+When fine-tuning CLIP, we are fine-tuning the CLIPVisionEncoder and CLIPTextEncoder in parallel.
+The artifact contains two models: `clip-vision` and `clip-text`.
+The parameter `select_model` tells finetune which model to use for inference, in the above example,


Suggested change

The parameter `select_model` tells finetune which model to use for inference, in the above example,

The parameter `select_model` tells finetuner which model to use for inference, in the above example,

guenthermi · 2022-09-08T13:26:40Z

docs/tasks/text-to-image.md

+```
+
+Check out [clip-as-service](https://clip-as-service.jina.ai/user-guides/finetuner/?highlight=finetuner#fine-tune-models) to know how to plug-in fine-tuned model there.


Suggested change

Check out [clip-as-service](https://clip-as-service.jina.ai/user-guides/finetuner/?highlight=finetuner#fine-tune-models) to know how to plug-in fine-tuned model there.

Check out [clip-as-service](https://clip-as-service.jina.ai/user-guides/finetuner/?highlight=finetuner#fine-tune-models) to know how to plug-in fine-tuned models there.

guenthermi · 2022-09-08T13:26:58Z

docs/tasks/text-to-image.md

+Check out [clip-as-service](https://clip-as-service.jina.ai/user-guides/finetuner/?highlight=finetuner#fine-tune-models) to know how to plug-in fine-tuned model there.
+
+That's it! If you want to integrate fine-tuned model into your Jina Flow, please check out {ref}`integrated with the Jina ecosystem <integrate-with-jina>`.


Suggested change

That's it! If you want to integrate fine-tuned model into your Jina Flow, please check out {ref}`integrated with the Jina ecosystem <integrate-with-jina>`.

That's it! If you want to integrate a fine-tuned model into your Jina Flow, please check out {ref}`integrated with the Jina ecosystem <integrate-with-jina>`.

guenthermi · 2022-09-08T13:27:24Z

docs/tasks/text-to-text.md

+## Inference
+
+Now you saved the `artifact` into your host machine,
+let's use fine-tuned model to encode a new `Document`.


Suggested change

let's use fine-tuned model to encode a new `Document`.

let's use the fine-tuned model to encode a new `Document`.

guenthermi · 2022-09-08T13:27:53Z

docs/tasks/text-to-text.md

+print(test_da.embeddings)
+```
+
+That's it! If you want to integrate fine-tuned model into your Jina Flow, please check out {ref}`integrated with the Jina ecosystem <integrate-with-jina>`.


Suggested change

That's it! If you want to integrate fine-tuned model into your Jina Flow, please check out {ref}`integrated with the Jina ecosystem <integrate-with-jina>`.

That's it! If you want to integrate a fine-tuned model into your Jina Flow, please check out {ref}`integrated with the Jina ecosystem <integrate-with-jina>`.

github-actions · 2022-09-08T14:41:13Z

📝 Docs are deployed on https://ft-docs-improve-examples--jina-docs.netlify.app 🎉

docs: add inference section

edbe932

github-actions bot added size/s area/docs labels Sep 8, 2022

bwanglzu added 2 commits September 8, 2022 14:27

docs: add inference sesseion

877ca07

docs: update text to image example

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github-actions bot added the area/core label Sep 8, 2022

bwanglzu added 2 commits September 8, 2022 15:17

docs: save artifact shhould return artifact

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chore: add changelog

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bwanglzu requested review from gmastrapas and guenthermi September 8, 2022 13:19

bwanglzu marked this pull request as ready for review September 8, 2022 13:19

gmastrapas reviewed Sep 8, 2022

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bwanglzu added 2 commits September 8, 2022 15:31

docs: fix typos

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fix: roll back stream logs

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bwanglzu added 3 commits September 8, 2022 16:14

chore: bump hubble python sdk

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Merge branch 'main' into docs-improve-examples

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github-actions bot added the area/testing This issue/PR affects testing label Sep 8, 2022

bwanglzu merged commit 509f1dc into main Sep 8, 2022

bwanglzu deleted the docs-improve-examples branch September 8, 2022 15:05

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docs: add inference section #529

docs: add inference section #529

bwanglzu commented Sep 8, 2022 •

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github-actions bot commented Sep 8, 2022

		```

		That's it! If you want to integrate fine-tuned model into your Jina Flow, please check out {ref}`integrated with the Jina ecosystem <integrate-with-jina>`.

		Check out [clip-as-service](https://clip-as-service.jina.ai/user-guides/finetuner/?highlight=finetuner#fine-tune-models) to know how to plug-in fine-tuned model there.

		That's it! If you want to integrate fine-tuned model into your Jina Flow, please check out {ref}`integrated with the Jina ecosystem <integrate-with-jina>`.


		Now you saved the `artifact` into your host machine,
		let's use fine-tuned model to encode a new `Document`.

	let's use fine-tuned model to encode a new `Document`.
	let's use the fine-tuned model to encode a new `Document`:

	That's it! If you want to integrate fine-tuned model into your Jina Flow, please check out {ref}`integrated with the Jina ecosystem <integrate-with-jina>`.
	That's it! If you want to integrate a fine-tuned model into your Jina Flow, please check out {ref}`integrated with the Jina ecosystem <integrate-with-jina>`.

	The parameter `select_model` tells finetune which model to use for inference, in the above example,
	The parameter `select_model` tells finetuner which model to use for inference, in the above example,

docs: add inference section #529

docs: add inference section #529

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bwanglzu commented Sep 8, 2022 •

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