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Karthika Rajagopal R S

KarthikaRajagopal
mbashas's profile picture
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AI & ML interests

NLP, reinforcement learning, Generative AI

Recent Activity

New activity 2 days ago
KarthikaRajagopal/fake_news.h5:Project Discussion Request - Fake News - Multimodal Dataset
New activity 4 days ago
KarthikaRajagopal/kaggle_fake_train:Librarian Bot: Add language metadata for dataset
Reacted to sayakpaul's post with ❤️ 5 days ago
It's been a while we shipped native quantization support in `diffusers` 🧨 We currently support `bistandbytes` as the official backend but using others like `torchao` is already very simple. This post is just a reminder of what's possible: 1. Loading a model with a quantization config 2. Saving a model with quantization config 3. Loading a pre-quantized model 4. `enable_model_cpu_offload()` 5. Training and loading LoRAs into quantized checkpoints Docs: https://huggingface.co/docs/diffusers/main/en/quantization/bitsandbytes
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