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Building on HF
21 11 10

Mahimai Raja J PRO

mahimairaja
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https://mahimairaja.in

AI & ML interests

Azure AI Engineer | LangChain + LangGraph | FastAPI | RAG | Voice AI

Recent Activity

new activity 3 days ago
zai-org/GLM-OCR:When will there be better support for vLLM?
reacted to marksverdhei's post with 🤗 5 days ago
Dear Hugging Face team, can we please have a way to archive hf repositories / spaces? I have a bunch of spaces that used to work but don't any more due to the hf space implementations changing and i think it would be good if I could archive those like in GitHub. React to this post if you want to see this feature! 💡
reacted to Javedalam's post with 🔥 7 days ago
KittenTTS Nano — Tiny, Expressive, Practical KittenTTS Nano is a lightweight, CPU-only text-to-speech model designed to prove that natural, expressive voices don’t require massive cloud stacks or GPUs. At roughly ~15M parameters, it runs fast on modest hardware, supports multiple expressive voices, and exposes simple controls for pacing and tone. This makes it ideal for edge devices, demos, and anyone who wants full control over TTS without latency, lock-in, or infrastructure overhead. Try it here https://huggingface.co/spaces/Javedalam/KittenTTS The model page https://huggingface.co/KittenML/kitten-tts-nano-0.2
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