Skip to content

Commit 0209661

Browse files
github-actions[bot]github-actions[bot]
committed
Update Hugging Face Learning Paths report [auto]
1 parent bbb7856 commit 0209661

1 file changed

Lines changed: 25 additions & 25 deletions

File tree

‎reports/hugging-face/huggingface-learning-paths.md‎

Lines changed: 25 additions & 25 deletions
Original file line numberDiff line numberDiff line change
@@ -2,28 +2,28 @@
22

33
Total Hugging Face Learning Paths: 23
44

5-
| Title | Category |
6-
|-------|----------|
7-
| [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) | servers-and-cloud-computing |
8-
| [Build and Run vLLM on Arm Servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/vllm) | servers-and-cloud-computing |
9-
| [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) | servers-and-cloud-computing |
10-
| [Accelerate Whisper on Arm with Hugging Face Transformers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/whisper) | servers-and-cloud-computing |
11-
| [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) | servers-and-cloud-computing |
12-
| [Run vLLM inference with INT4 quantization on Arm servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/vllm-acceleration) | servers-and-cloud-computing |
13-
| [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) | servers-and-cloud-computing |
14-
| [Run an LLM chatbot with rtp-llm on Arm-based servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/rtp-llm) | servers-and-cloud-computing |
15-
| [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) | servers-and-cloud-computing |
16-
| [Build a RAG application using Zilliz Cloud on Arm servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/milvus-rag) | servers-and-cloud-computing |
17-
| [Accelerate Natural Language Processing (NLP) models from Hugging Face on Arm servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/benchmark-nlp) | servers-and-cloud-computing |
18-
| [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) | servers-and-cloud-computing |
19-
| [Run a Computer Vision Model on a Himax Microcontroller](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/yolo-on-himax) | embedded-and-microcontrollers |
20-
| [Run Llama 3 on a Raspberry Pi 5 using ExecuTorch](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/rpi-llama3) | embedded-and-microcontrollers |
21-
| [Run a local LLM chatbot on a Raspberry Pi 5](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/llama-python-cpu) | embedded-and-microcontrollers |
22-
| [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) | mobile-graphics-and-gaming |
23-
| [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) | mobile-graphics-and-gaming |
24-
| [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) | mobile-graphics-and-gaming |
25-
| [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) | mobile-graphics-and-gaming |
26-
| [Generate audio with Stable Audio Open Small using ExecuTorch](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/run-stable-audio-with-executorch) | mobile-graphics-and-gaming |
27-
| [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) | mobile-graphics-and-gaming |
28-
| [Build a RAG pipeline on Arm-based NVIDIA DGX Spark](https://learn.arm.com/learning-paths/laptops-and-desktops/dgx_spark_rag) | laptops-and-desktops |
29-
| [Fine-tune PyTorch models on DGX Spark](https://learn.arm.com/learning-paths/laptops-and-desktops/pytorch-finetuning-on-spark) | laptops-and-desktops |
5+
| Title | Category | CSP |
6+
|-------|----------|-----|
7+
| [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) | servers-and-cloud-computing | AWS |
8+
| [Build and Run vLLM on Arm Servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/vllm) | servers-and-cloud-computing | AWS, Microsoft Azure, Google Cloud, Oracle |
9+
| [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) | servers-and-cloud-computing | AWS |
10+
| [Accelerate Whisper on Arm with Hugging Face Transformers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/whisper) | servers-and-cloud-computing | AWS, Microsoft Azure, Google Cloud, Oracle |
11+
| [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) | servers-and-cloud-computing | Google Cloud |
12+
| [Run vLLM inference with INT4 quantization on Arm servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/vllm-acceleration) | servers-and-cloud-computing | AWS, Microsoft Azure, Google Cloud, Oracle |
13+
| [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) | servers-and-cloud-computing | AWS, Microsoft Azure, Google Cloud, Oracle |
14+
| [Run an LLM chatbot with rtp-llm on Arm-based servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/rtp-llm) | servers-and-cloud-computing | AWS, Microsoft Azure, Google Cloud, Oracle |
15+
| [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) | servers-and-cloud-computing | AWS, Microsoft Azure, Google Cloud, Oracle |
16+
| [Build a RAG application using Zilliz Cloud on Arm servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/milvus-rag) | servers-and-cloud-computing | AWS, Microsoft Azure, Google Cloud, Oracle |
17+
| [Accelerate Natural Language Processing (NLP) models from Hugging Face on Arm servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/benchmark-nlp) | servers-and-cloud-computing | AWS, Microsoft Azure, Google Cloud, Oracle |
18+
| [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) | servers-and-cloud-computing | Google Cloud |
19+
| [Run a Computer Vision Model on a Himax Microcontroller](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/yolo-on-himax) | embedded-and-microcontrollers | |
20+
| [Run Llama 3 on a Raspberry Pi 5 using ExecuTorch](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/rpi-llama3) | embedded-and-microcontrollers | |
21+
| [Run a local LLM chatbot on a Raspberry Pi 5](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/llama-python-cpu) | embedded-and-microcontrollers | |
22+
| [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) | mobile-graphics-and-gaming | |
23+
| [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) | mobile-graphics-and-gaming | |
24+
| [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) | mobile-graphics-and-gaming | |
25+
| [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) | mobile-graphics-and-gaming | |
26+
| [Generate audio with Stable Audio Open Small using ExecuTorch](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/run-stable-audio-with-executorch) | mobile-graphics-and-gaming | |
27+
| [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) | mobile-graphics-and-gaming | |
28+
| [Build a RAG pipeline on Arm-based NVIDIA DGX Spark](https://learn.arm.com/learning-paths/laptops-and-desktops/dgx_spark_rag) | laptops-and-desktops | |
29+
| [Fine-tune PyTorch models on DGX Spark](https://learn.arm.com/learning-paths/laptops-and-desktops/pytorch-finetuning-on-spark) | laptops-and-desktops | |

0 commit comments

Comments
 (0)