This repository contains demos I made with the Transformers library by HuggingFace.
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State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL-E including jump starting GPT-4, speech-to-text, text-to-speech, text to image generation with DALL-E, Google Cloud AI,HuggingGPT, and more
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Practical course about Large Language Models.
