docs: demo, experiments and live inference API on Tiyaro

[ijonglin]

Hello Maintainer of Github repo microsoft/MSMARCO-Passage-Ranking!

Thank you for your work on microsoft/MSMARCO-Passage-Ranking. This GitHub project is interesting, and we think that it would be a great addition to make this work instantly discoverable & available as an API for all your users, to quickly try and use it in their applications.

The list of model card(s) covered by this PR are:

• https://console.tiyaro.ai/explore/cross-encoder-ms-marco-MiniLM-L-12-v2
• https://console.tiyaro.ai/explore/cross-encoder-ms-marco-MiniLM-L-2-v2
• https://console.tiyaro.ai/explore/cross-encoder-ms-marco-MiniLM-L-6-v2
• https://console.tiyaro.ai/explore/cross-encoder-ms-marco-TinyBERT-L-2
• https://console.tiyaro.ai/explore/cross-encoder-ms-marco-TinyBERT-L-2-v2
• https://console.tiyaro.ai/explore/cross-encoder-ms-marco-electra-base

On Tiyaro, every model in microsoft/MSMARCO-Passage-Ranking will get its own:

• Dedicated model card (e.g. https://console.tiyaro.ai/explore/cross-encoder-ms-marco-MiniLM-L-12-v2
• Model demo (e.g. https://console.tiyaro.ai/explore/cross-encoder-ms-marco-MiniLM-L-12-v2/demo)
• Unique Inference API (e.g. https://api.tiyaro.ai/explore/huggingface/1//cross-encoder/ms-marco-MiniLM-L-12-v2)
• Sample code snippets and swagger spec for the API

Users will also be able to compare your model with other models of similar types on various parameters using Tiyaro Experiments
(https://tiyaro.ai/blog/ocr/)

—-
I am from Tiyaro.ai (https://tiyaro.ai/). We are working on enabling developers to instantly evaluate, use and customize the world’s best AI. We are constantly working on adding new features to Tiyaro EasyTrain, EasyServe & Experiments, to make the best use of your ML model, and making AI more accessible for anyone.

Sincerely,
I-Jong Lin

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