How to Deploy HuggingFace’s Stable Diffusion Pipeline with Triton Inference Server
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YouTubeNVIDIA Developer
How to Deploy HuggingFace’s Stable Diffusion Pipeline with Triton Inference Server
This video showcases deploying the Stable Diffusion pipeline available through the HuggingFace diffuser library. We use Triton Inference Server to deploy and run the pipeline. Two models in the pipeline have been exported to ONNX and TensorRT to demonstrate use of multiple backends in the same pipeline. GitHub Code: https://github.com/triton ...
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Hugging Face Transformers
Hugging Face has really transformed the world of AI and NLP. It's amazing collection of tools—like the groundbreaking Transformers library, the collaborative Model Hub, and the vast Datasets library—has made advanced NLP capabilities accessible to everyone. It’s all about bringing AI within reach for all kinds of users! Want to know more? Watch the full video to find out! #HuggingFace #MachineLearning #NLP #OpenSource #DataScience #TechTrends #AI #DeepLearning #TechCommunity [AI and NLP Applicat
0:51
Hugging Face has really transformed the world of AI and NLP. It's amazing collection of tools—like the groundbreaking Transformers library, the collaborative Model Hub, and the vast Datasets library—has made advanced NLP capabilities accessible to everyone. It’s all about bringing AI within reach for all kinds of users! Want to know more? Watch the full video to find out! #HuggingFace #MachineLearning #NLP #OpenSource #DataScience #TechTrends #AI #DeepLearning #TechCommunity [AI and NLP Applicat
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Priyal | DS & ML on Instagram: "1. Hugging Face Transformers + PEFT The most popular ecosystem for fine-tuning LLMs. Supports LoRA, QLoRA, Adapters, Prefix Tuning, and integrates smoothly with the HF Trainer. 2. Axolotl A production-grade framework for SFT, DPO, ORPO, RLHF, LoRA/QLoRA, and multi-GPU setups. Simple YAML configs and massive flexibility. 3. Unsloth Ultra-fast, memory-efficient fine-tuning. Lets you train 7B–13B models on small consumer GPUs. Great for speed and low VRAM. 4. LLaMA F
0:04
Priyal | DS & ML on Instagram: "1. Hugging Face Transformers + PEFT The most popular ecosystem for fine-tuning LLMs. Supports LoRA, QLoRA, Adapters, Prefix Tuning, and integrates smoothly with the HF Trainer. 2. Axolotl A production-grade framework for SFT, DPO, ORPO, RLHF, LoRA/QLoRA, and multi-GPU setups. Simple YAML configs and massive flexibility. 3. Unsloth Ultra-fast, memory-efficient fine-tuning. Lets you train 7B–13B models on small consumer GPUs. Great for speed and low VRAM. 4. LLaMA F
Instagrampriyal.py
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Sri Nithya Thimmaraju on Instagram: "URLs ⤵️ 1) LangGraph (LangChain) - https://github.com/langchain-ai/langgraph 2. Microsoft AutoGen - https://github.com/microsoft/autogen 3. Hugging Face Transformers - https://github.com/huggingface/transformers 4. Hugging Face TRL - https://github.com/huggingface/trl 5. vLLM - https://github.com/vllm-project/vllm (Save it for later!) . 🏷️ Best Git Repos to Learn AI, Opensource Git Repository, Learn AI, Generative Al, Artificial Intelligence, Al, Large Langu
0:11
Sri Nithya Thimmaraju on Instagram: "URLs ⤵️ 1) LangGraph (LangChain) - https://github.com/langchain-ai/langgraph 2. Microsoft AutoGen - https://github.com/microsoft/autogen 3. Hugging Face Transformers - https://github.com/huggingface/transformers 4. Hugging Face TRL - https://github.com/huggingface/trl 5. vLLM - https://github.com/vllm-project/vllm (Save it for later!) . 🏷️ Best Git Repos to Learn AI, Opensource Git Repository, Learn AI, Generative Al, Artificial Intelligence, Al, Large Langu
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