Aidy Osu

aidystark

AI & ML interests

Vision;Language;Speech

Recent Activity

liked a Space 5 days ago
freddyaboulton/talk-to-ultravox
liked a Space 6 days ago
fishaudio/fish-speech-1
liked a model 18 days ago
Qwen/Qwen2-VL-7B-Instruct
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aidystark's activity

reacted to merve's post with ๐Ÿš€ 22 days ago
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2630
small but mighty ๐Ÿ”ฅ
you can fine-tune SmolVLM on an L4 with batch size of 4 and it will only take 16.4 GB VRAM ๐Ÿซฐ๐Ÿป also with gradient accumulation simulated batch size is 16 โœจ
I made a notebook that includes all the goodies: QLoRA, gradient accumulation, gradient checkpointing with explanations on how they work ๐Ÿ’ https://github.com/huggingface/smollm/blob/main/finetuning/Smol_VLM_FT.ipynb
reacted to akhaliq's post with ๐Ÿ‘ 27 days ago
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3677
New model drop in anychat

allenai/Llama-3.1-Tulu-3-8B is now available

try it here: akhaliq/anychat
liked a Space about 1 month ago
replied to PHBJT's post about 2 months ago
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Thanks very much for the resource
I will reach out

reacted to fdaudens's post with ๐Ÿง ๐Ÿ‘ 3 months ago
replied to PHBJT's post 3 months ago
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Okay...
The Language is spoken in Africa (Nigeria) but it is part of the Niger Congo Language Family it is called "Ibibio". We are just capturing the language for the first time digitally . We will try to get it to 60k Hours for a start. What i saw was that if the language is not captured in Flan T5 then the training of Parler TTS should be done from scratch; what's your intuition on this.

reacted to PHBJT's post with ๐Ÿ”ฅ 3 months ago
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1764
Bringing Open-Source Text-to-Speech to French! ๐Ÿ—ฃ๏ธ๐Ÿ‡ซ๐Ÿ‡ท

Hugging Face's Parler TTS mini can now speak French! ๐Ÿ‡ซ๐Ÿ‡ท๐ŸŽ‰
You can try it here: PHBJT/french_parler_tts

Key highlights:
Transform the English TTS model to speak French ๐Ÿ‡ฌ๐Ÿ‡งโžก๏ธ๐Ÿ‡ซ๐Ÿ‡ท
Fully open source (code, weights, and datasets) ๐Ÿ› ๏ธ
It can be replicated for every language ๐ŸŒ

Read more about it in this article: https://huggingface.co./blog/PHBJT/french-parler-tts

Special thanks to FlexAI and their dedicated team for providing the computing power that made this possible and of course to all of the Parler TTS community ๐Ÿค—
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