Comments (19)
Awesome, thanks, @merveenoyan! I added to my to-do list. I'll ping you if I run into problems.
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@merveenoyan I will be happy to contribute :)
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@osmanalenbey
Great!!! I'd like to briefly go through on what we want to do here 🙂 Task pages are documentation related to machine learning tasks. This is primarily aimed to educate software developers who want to simply know about the task, find a model, call a pipeline and build their first PoC. Some of the task pages are empty, some are full. The empty ones are the ones we appreciate community contributions for.
This is an example task page for text generation task: https://huggingface.co/tasks/text-generation and this is the page for RL, which is empty: https://huggingface.co/tasks/reinforcement-learning. We want community to help us fill these pages.
I explained the details in this issue: huggingface/hub-docs#369
Would you like to fill the whole task or parts of it? Note that it might be overwhelming to take over all of it so I suggest taking a couple of parts and see if this works for you.
Please let me know of any questions if you have any 🙂
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@merveenoyan hello. May I ask if you want a specific part of reinforcement learning relevant to project or any information as detailed as possible?
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@osmanalenbey These are wikipedia-like pages, so you can contribute basic information about a task. Some task pages are already full, you can take a look at the page of text-classification
for inspiration: https://huggingface.co/tasks/text-classification. The list of what you can contribute is already given above.
Task description
Subtasks (if there is any)
Most used dataset for the task
Most used model for the task
Metrics that are used to evaluate the task
Libraries used for the task
Use cases
Small snippet for inference that demonstrates the task
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Hello!! I would like to contribute
can add one or two parts :)
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hello @merveenoyan can you assign me this task!!
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@utkarsh0308 yes! you can! @02shanks can you both write down what you'd like to contribute to avoid duplication of efforts 🙂
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I can work on Task description and then on Most used model for the task
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I can contribute to use cases
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@merveenoyan I can't find the reinforcement-learning folder in my fork
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#388 Added Reinforcement learning use cases
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Hi! @merveenoyan it seems that Most used dataset for the task
, Metrics that are used to evaluate the task
, and Libraries used for the task
are still available. Can I contribute those?
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@emiliolehoucq sure! 🙂
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Hey @merveenoyan i can see the Inference
and the Variants
task is still open. can i contribute to those?
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@shreyansjainn yep, you can :)
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@merveenoyan great, thanks, will start working on this!!! if I can ask what is generally the timeline for these tasks? this is my first time contributing to OSS.
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@shreyansjainn feel free to take your time, we have no hurry!
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Lots of cool contributions! This is just missing the snippet now
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Related Issues (20)
- Tracking integration for [coreference-resolution]
- OpenCLIP does not have Inference API/Endpoints when clicking Deploy HOT 2
- Use `@huggingface/inference` inside `@huggingface/widgets` HOT 4
- Add check to make sure `@huggingface/tasks` is published _before_ `@huggingface/widgets` HOT 2
- Add inference snippets for different tasks
- The text generation streaming widget should not block
- Automated snippet generation
- [QoL] move the `WidgetExample` part of `model-data.ts` to its own file (in the same folder) as it's a bit distinct HOT 3
- @huggingface/hub: listModels - ModelEntry.updateAt returns null
- Dispatch on the hub when new tasks/widgets versoin is published HOT 1
- Fix tags not being pushed during publish actions
- Audio speech recognition does not send audiofile to backend HOT 1
- Export task documentations
- Add signInWithHf() frontend helper
- True text streaming in streaming API HOT 1
- [Widget] `TextGenerationWidget`: default to 20 max_tokens HOT 2
- What's the meaning of "downloads" and "likes"
- change activation function in Inference API for Image Classification HOT 10
- Inference API "</> JSON Output" button triggers reload of webpage HOT 1
- Add documentation for Zero-Shot Object Detection
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