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MMHD SAMIR

abosamir97
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reacted to onekq's post with 👀 about 1 month ago
Open source models are immutable, this is a big pain. When you open source a piece of software, users leave their feedbacks via issues or PRs. You can merge their feedbacks in semi real time, this creates a positive cycle. Then you have a community. LLMs don't have these nice micro steps. There are no hot fixes. Even a minor version bump is an endeavor. I'm quite confident my model is being used by teams somewhere. But until next launch, it's awfully quiet. I don't know the solution. Just a regular lament before weekend. 🤗
reacted to ritvik77's post with 🚀 about 1 month ago
https://huggingface.co/spaces/ritvik77/ContributionChartHuggingFace It's Ready! One feature Hugging Face could really benefit from is a contribution heatmap — a visual dashboard to track user engagement and contributions across models, datasets, and models over the year, similar to GitHub’s contribution graph. Guess what, Clem Delangue mentioned idea about using HF API reference for it and we made it for use. If you are a Hugging Face user add this Space in your collection and it will give you all stats about your contributions and commits nearly same as GitHub. It's still a prototype and still working on it as a product feature.
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abosamir97's activity

reacted to onekq's post with 👀 about 1 month ago
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2259
Open source models are immutable, this is a big pain.

When you open source a piece of software, users leave their feedbacks via issues or PRs. You can merge their feedbacks in semi real time, this creates a positive cycle. Then you have a community.

LLMs don't have these nice micro steps. There are no hot fixes. Even a minor version bump is an endeavor. I'm quite confident my model is being used by teams somewhere. But until next launch, it's awfully quiet.

I don't know the solution. Just a regular lament before weekend. 🤗

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reacted to ritvik77's post with 🚀 about 1 month ago
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2297
ritvik77/ContributionChartHuggingFace
It's Ready!

One feature Hugging Face could really benefit from is a contribution heatmap — a visual dashboard to track user engagement and contributions across models, datasets, and models over the year, similar to GitHub’s contribution graph. Guess what, Clem Delangue mentioned idea about using HF API reference for it and we made it for use.

If you are a Hugging Face user add this Space in your collection and it will give you all stats about your contributions and commits nearly same as GitHub. It's still a prototype and still working on it as a product feature.
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