docs: demo, experiments and live inference API on Tiyaro

[ijonglin]

Hello Maintainer of Github repo moussaKam/FrugalScore (@moussaKam) !

Thank you for your work on moussaKam/FrugalScore. 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.

On Tiyaro, every model in moussaKam/FrugalScore will get its own:
Dedicated model card (see https://console.tiyaro.ai/explore/huggingface-moussaKam-frugalscore_tiny_bert-base_bert-score-1
Model demo (see https://console.tiyaro.ai/explore/huggingface-moussaKam-frugalscore_tiny_bert-base_bert-score-1/demo)
Unique Inference API (https://api.tiyaro.ai/explore/huggingface/1//moussaKam/frugalscore_tiny_bert-base_bert-score)
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://blog.tiyaro.ai/evaluate-openmmlabs-mmocr-models-using-tiyaro-experiments)

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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

[moussaKam]

Hi @ijonglin

Thank you for the PR.

However, I see that for the moment your api considers the model's task to be a sentence classification task.

The task is basically a regression one. The input to the model is two text sequences, and the output is a decimal score representing the similarity between the two sentences.

Once the api is adapted properly I would be happy to merge your PR.

Thanks!

[ijonglin]

Gotcha. Let me talk to the engineer side to see when we can schedule these changes to be made.

cc: @smainkar13 @maheshpatil2021