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Kokoro TTS Zero
Accelerated Text-To-Speech on Kokoro-82M
Mohamed Rashad PRO
MohamedRashad
AI & ML interests
Computer Vision, Robotics, Natural Language Processing
Recent Activity
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Remsky/Kokoro-TTS-Zero
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The winners of Best Paper Award in NeurIPs2024 (FoundationVision) https://huggingface.co/papers/2404.02905 has just released a new paper called infinty:
https://huggingface.co/papers/2412.04431
And i managed to build a space for it so anyone can try it out: https://huggingface.co/spaces/MohamedRashad/Infinity
The idea of a text to image model using autoregressive archticture is quite interesting in my opinion.
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6 days ago
3C3H AraGen Leaderboard welcomes today https://huggingface.co/deepseek-ai/DeepSeek-V3 and 12 other models (including the late gpt-3.5 💀) to the ranking of best LLMs in Arabic !
Observations:
- DeepSeek-v3 ranked 3rd and only Open model among the top 5 !
- A 14B open model (https://huggingface.co/Qwen/Qwen2.5-14B-Instruct) outperforms gpt-3.5-turbo-0125 (from last year). This shows how much we came in advancing and supporting Arabic presence within the LLM ecosystem !
- Contrary to what observed in likelihood-acc leaderboards (like https://huggingface.co/spaces/OALL/Open-Arabic-LLM-Leaderboard) further finetuned models like https://huggingface.co/maldv/Qwentile2.5-32B-Instruct actually decreased the performance compared to the original model https://huggingface.co/Qwen/Qwen2.5-32B-Instruct.
It's worth to note that the decrease is statiscally insignificant which imply that at best, the out-domain finetuning do not really hurts the model original capabilities acquired during pretraining.
Previous work addressed this (finetuning VS pretraining) but more investigation in this regard is required (any PhDs here ? This could be your question ...)
Check out the latest rankings: https://huggingface.co/spaces/inceptionai/AraGen-Leaderboard
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MohamedRashad's activity
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The winners of Best Paper Award in NeurIPs2024 (FoundationVision)
Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale
Prediction (2404.02905) has just released a new paper called infinty:
Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis (2412.04431)
And i managed to build a space for it so anyone can try it out: MohamedRashad/Infinity
The idea of a text to image model using autoregressive archticture is quite interesting in my opinion.
Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis (2412.04431)
And i managed to build a space for it so anyone can try it out: MohamedRashad/Infinity
The idea of a text to image model using autoregressive archticture is quite interesting in my opinion.
reacted to
alielfilali01's
post with 👍
6 days ago
Post
1735
3C3H AraGen Leaderboard welcomes today
deepseek-ai/DeepSeek-V3 and 12 other models (including the late gpt-3.5 💀) to the ranking of best LLMs in Arabic !
Observations:
- DeepSeek-v3 ranked 3rd and only Open model among the top 5 !
- A 14B open model ( Qwen/Qwen2.5-14B-Instruct) outperforms gpt-3.5-turbo-0125 (from last year). This shows how much we came in advancing and supporting Arabic presence within the LLM ecosystem !
- Contrary to what observed in likelihood-acc leaderboards (like OALL/Open-Arabic-LLM-Leaderboard) further finetuned models like maldv/Qwentile2.5-32B-Instruct actually decreased the performance compared to the original model Qwen/Qwen2.5-32B-Instruct.
It's worth to note that the decrease is statiscally insignificant which imply that at best, the out-domain finetuning do not really hurts the model original capabilities acquired during pretraining.
Previous work addressed this (finetuning VS pretraining) but more investigation in this regard is required (any PhDs here ? This could be your question ...)
Check out the latest rankings: inceptionai/AraGen-Leaderboard
Observations:
- DeepSeek-v3 ranked 3rd and only Open model among the top 5 !
- A 14B open model ( Qwen/Qwen2.5-14B-Instruct) outperforms gpt-3.5-turbo-0125 (from last year). This shows how much we came in advancing and supporting Arabic presence within the LLM ecosystem !
- Contrary to what observed in likelihood-acc leaderboards (like OALL/Open-Arabic-LLM-Leaderboard) further finetuned models like maldv/Qwentile2.5-32B-Instruct actually decreased the performance compared to the original model Qwen/Qwen2.5-32B-Instruct.
It's worth to note that the decrease is statiscally insignificant which imply that at best, the out-domain finetuning do not really hurts the model original capabilities acquired during pretraining.
Previous work addressed this (finetuning VS pretraining) but more investigation in this regard is required (any PhDs here ? This could be your question ...)
Check out the latest rankings: inceptionai/AraGen-Leaderboard
liked
a
Space
6 days ago
reacted to
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7 days ago
Post
1772
The winners of Best Paper Award in NeurIPs2024 (FoundationVision)
Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale
Prediction (2404.02905) has just released a new paper called infinty:
Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis (2412.04431)
And i managed to build a space for it so anyone can try it out: MohamedRashad/Infinity
The idea of a text to image model using autoregressive archticture is quite interesting in my opinion.
Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis (2412.04431)
And i managed to build a space for it so anyone can try it out: MohamedRashad/Infinity
The idea of a text to image model using autoregressive archticture is quite interesting in my opinion.
posted
an
update
7 days ago
Post
1772
The winners of Best Paper Award in NeurIPs2024 (FoundationVision)
Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale
Prediction (2404.02905) has just released a new paper called infinty:
Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis (2412.04431)
And i managed to build a space for it so anyone can try it out: MohamedRashad/Infinity
The idea of a text to image model using autoregressive archticture is quite interesting in my opinion.
Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis (2412.04431)
And i managed to build a space for it so anyone can try it out: MohamedRashad/Infinity
The idea of a text to image model using autoregressive archticture is quite interesting in my opinion.
updated
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7 days ago
liked
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8 days ago
liked
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22 days ago
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26 days ago
Update README.md
#1 opened 26 days ago
by
MohamedRashad
ideas about automatic summarization of qur'an-tafseer
3
#2 opened 27 days ago
by
rhyssh
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alielfilali01's
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29 days ago
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3430
Unpopular opinion: Open Source takes courage to do !
Not everyone is brave enough to release what they have done (the way they've done it) to the wild to be judged !
It really requires a high level of "knowing wth are you doing" ! It's kind of a super power !
Cheers to the heroes here who see this!
Not everyone is brave enough to release what they have done (the way they've done it) to the wild to be judged !
It really requires a high level of "knowing wth are you doing" ! It's kind of a super power !
Cheers to the heroes here who see this!
- 5 replies
How my country is not in the global top 500 model creators on the Hub ?
#6 opened 29 days ago
by
MohamedRashad
reacted to
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about 1 month ago
Post
2558
For those Game Developers out there who wants a tool to generate them 3d assets of different game items. I built something for you 😅
JeffreyXiang/TRELLIS-image-large +
Qwen/Qwen2.5-72B-Instruct +
Freepik/flux.1-lite-8B-alpha =
MohamedRashad/Game-Items-Generator
Happy building 🎉
JeffreyXiang/TRELLIS-image-large +
Qwen/Qwen2.5-72B-Instruct +
Freepik/flux.1-lite-8B-alpha =
MohamedRashad/Game-Items-Generator
Happy building 🎉
- 1 reply
posted
an
update
about 1 month ago
Post
2558
For those Game Developers out there who wants a tool to generate them 3d assets of different game items. I built something for you 😅
JeffreyXiang/TRELLIS-image-large +
Qwen/Qwen2.5-72B-Instruct +
Freepik/flux.1-lite-8B-alpha =
MohamedRashad/Game-Items-Generator
Happy building 🎉
JeffreyXiang/TRELLIS-image-large +
Qwen/Qwen2.5-72B-Instruct +
Freepik/flux.1-lite-8B-alpha =
MohamedRashad/Game-Items-Generator
Happy building 🎉
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- 1 reply
updated
a
Space
about 1 month ago
RuntimeError: Unexpected error from cudaGetDeviceCount()
4
#138 opened about 1 month ago
by
bluestyle97
updated
a
Space
about 1 month ago