docs: add Tiyaro in standardized model interfaces & demos section

[Venkat2811]

Hello PapersWithCode Team !

Thank you for your work with building and maintaining PWC. This tips repo is very useful, and I've come across various SOTA model repos that follow this structure. I am from Tiyaro.ai, and we are working on enabling developers to instantly evaluate, customize and use the world’s best AI. With this PR, our goal is to reach AI researchers and model developers, so that they get the following benefits with just few easy steps on Tiyaro.

On Tiyaro, every model will get it’s own:

• Dedicated model card - Example: facebook/bart-large-mnli
• Model demo page - Example: google/vit-base-patch16-224
• Unique Inference API - Example: facebook/bart-large-mnli.
• Sample code snippets and swagger spec for the API in the model card
• Standardized model input and output interfaces based on Model Types, ex: image-classification, translation, etc.,
• Compare a model with other models of similar types on various parameters using Tiyaro Experiments - Example: Image classification.

With these features, researcher's GitHub Models are available for anyone to try out and use as APIs, removing all the barriers and providing reach to wide range of users, and thus enabling reproducibility in research. We are constantly working on adding new features to Tiyaro EasyTrain, EasyServe & Experiments, to make the best use of any ML model, and making AI more accessible for anyone.

Update: We've signed Meta's Open Source corporate CLA as well

[omarsar]

@rstojnic Please take a look.

[Venkat2811]

Hello @rstojnic,

Hope you are doing well. Looking forward to your PR review.