# Tag: Hugging Face

## Learning paths

- [Run an optimized vision-language model from the Arm AI Portal on Android](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/ai-portal-mobile-vision-language/)
- [Classify pet images with DeiT-Tiny and Arm VGF using ExecuTorch](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/deploy-deit-tiny-with-vgf/)
- [Run a Natural Language Processing (NLP) model from Hugging Face on Arm servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/nlp-hugging-face/)
- [Build a RAG application using Zilliz Cloud on Arm servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/milvus-rag/)
- [Run an Arm AI Portal depth estimation model on Android](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/run-depth-anything-v2-on-android/)
- [Deploy models with the Arm AI Portal](https://learn.arm.com/learning-paths/cross-platform/ai-portal-model-deployment/)
- [Run an Arm AI Portal image segmentation model on Android](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/run-image-to-image-models-on-android/)
- [Deploy a Large Language Model (LLM) chatbot with llama.cpp using KleidiAI on Arm servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/llama-cpu/)
- [Run optimized object-detection models from the Arm AI Portal on Android](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/ai-portal-mobile-object-detection/)
- [Run vLLM inference with INT4 quantization on Arm servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/vllm-acceleration/)
- [Run an LLM chatbot with rtp-llm on Arm-based servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/rtp-llm/)
- [Run a Large Language Model (LLM) chatbot with PyTorch using KleidiAI on Arm servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/pytorch-llama/)
- [Deploy Arcee AFM-4.5B on Arm-based Google Cloud Axion with Llama.cpp](https://learn.arm.com/learning-paths/servers-and-cloud-computing/arcee-foundation-model-on-gcp/)
- [Deploy Arcee AFM-4.5B on Arm-based AWS Graviton4 with Llama.cpp](https://learn.arm.com/learning-paths/servers-and-cloud-computing/arcee-foundation-model-on-aws/)
- [Deploy a RAG-based Chatbot with llama-cpp-python using KleidiAI on Google Axion processors](https://learn.arm.com/learning-paths/servers-and-cloud-computing/rag/)
- [Build and run vLLM on Arm servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/vllm/)
- [Accelerate Whisper on Arm with Hugging Face Transformers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/whisper/)
- [Accelerate Natural Language Processing (NLP) models from Hugging Face on Arm servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/benchmark-nlp/)
- [Run optimized LLMs from the Arm AI Portal on Arm Neoverse-based instances](https://learn.arm.com/learning-paths/servers-and-cloud-computing/ai-portal-cloud-text-to-text/)
- [Run optimized image classification models from the Arm AI Portal on Android](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/ai-portal-mobile-image-classification/)
- [Run an optimized text-to-speech model from the Arm AI Portal on an Arm Neoverse-based instance](https://learn.arm.com/learning-paths/servers-and-cloud-computing/ai-portal-text-to-speech/)
- [Run Arm AI Portal text-generation models on Android](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/run-text-to-text-models-on-android/)
- [Run optimized Whisper speech transcription models from the Arm AI Portal on Arm-powered Android devices](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/ai-portal-audio-to-text/)
- [Fine-tune SmolVLA for an SO-101 pick-and-place task on an NVIDIA DGX Spark](https://learn.arm.com/learning-paths/laptops-and-desktops/finetune-smolvla-lerobot/)
- [Profile the Performance of AI and ML Mobile Applications on Arm](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/profiling-ml-on-arm/)
- [Generate audio with Stable Audio Open Small using ExecuTorch](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/run-stable-audio-with-executorch/)
- [Generate audio with Stable Audio Open Small on LiteRT](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/run-stable-audio-open-small-with-lite-rt/)
- [Run ExecuTorch Llama 3.2 1B Instruct on an Android phone with Vulkan](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/executorch-vulkan-learning-path/)
- [Run LLM inference on Android with KleidiAI, MediaPipe, and XNNPACK](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/kleidiai-on-android-with-mediapipe-and-xnnpack/)
- [Run Llama 3 on a Raspberry Pi 5 using ExecuTorch](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/rpi-llama3/)
- [Run a computer vision model on a Himax microcontroller](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/yolo-on-himax/)
- [Run a local LLM chatbot on a Raspberry Pi 5](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/llama-python-cpu/)
- [Build an Android chat application with ONNX Runtime API](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/build-android-chat-app-using-onnxruntime/)
- [Build an Android chat app with Llama, KleidiAI, ExecuTorch, and XNNPACK](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/build-llama3-chat-android-app-using-executorch-and-xnnpack/)
- [Fine-tune PyTorch models on DGX Spark](https://learn.arm.com/learning-paths/laptops-and-desktops/pytorch-finetuning-on-spark/)
- [Build a RAG pipeline on Arm-based NVIDIA DGX Spark](https://learn.arm.com/learning-paths/laptops-and-desktops/dgx_spark_rag/)
- [Run vLLM inference with quantized models and benchmark on Arm servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/vllm-benchmark-quantisation/)