Philipp Schmid is a Staff Engineer at Google DeepMind, building AI Developer Experience and DevRel initiatives. He specializes in LLMs, RLHF, and making advanced AI accessible to developers worldwide.
199 articles from this blog
A tutorial on fine-tuning a BERT model for text classification using Hugging Face Transformers and Google Cloud TPUs with PyTorch.
A tutorial on fine-tuning Google's FLAN-T5 model for summarizing chat and dialogue using the samsum dataset and Hugging Face Transformers.
A tutorial on deploying OpenAI's Whisper speech recognition model using Hugging Face Inference Endpoints for scalable transcription APIs.
A tutorial on using Hugging Face Inference Endpoints to deploy and run Stable Diffusion 2 for AI image inpainting via a custom API.
A tutorial on deploying Stable Diffusion 2.0 for image generation using Hugging Face Inference Endpoints and integrating it via an API.
A tutorial on fine-tuning the LiLT model for language-agnostic document understanding and information extraction using Hugging Face Transformers.
Learn how to deploy multiple ML models on a single GPU using Hugging Face Inference Endpoints for scalable, cost-effective inference.
A tutorial on deploying a Hugging Face Gradio machine learning app for sentiment analysis to AWS Lambda using a serverless architecture.
Learn to optimize Stable Diffusion for faster GPU inference using DeepSpeed-Inference and Hugging Face Diffusers.
A technical guide on deploying the Stable Diffusion text-to-image model to Amazon SageMaker for real-time inference using the Hugging Face Diffusers library.
A tutorial on deploying the T5 11B language model for inference using Hugging Face Inference Endpoints on a budget.
Learn how SetFit, a new approach from Intel Labs and Hugging Face, outperforms GPT-3 for text classification with minimal labeled data.
A tutorial on fine-tuning Microsoft's LayoutLM model for document understanding using TensorFlow, Keras, and the FUNSD dataset.
A tutorial on deploying the LayoutLM document understanding model using Hugging Face Inference Endpoints for production API integration.
A tutorial on fine-tuning Microsoft's LayoutLM model for document understanding and information extraction using the Hugging Face Transformers library.
A tutorial on creating custom inference handlers for Hugging Face Inference Endpoints to add business logic and dependencies.
Learn to optimize GPT-J inference using DeepSpeed-Inference and Hugging Face Transformers for faster GPU performance.
A tutorial on fine-tuning the Donut model for document parsing using Hugging Face Transformers and the SROIE dataset.
A tutorial on using Sentence Transformers models with TensorFlow and Keras to create text embeddings for semantic search and similarity tasks.
A tutorial on pre-training a BERT model from scratch using Hugging Face Transformers and Habana Gaudi accelerators on AWS.
