huggingface/transformers
馃 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.
State-of-the-art Machine Learning for the web. Run 馃 Transformers directly in your browser, with no need for a server!
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馃 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.
This repository contains demos I made with the Transformers library by HuggingFace.
A collection of pre-trained, state-of-the-art models in the ONNX format
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
The collection of pre-trained, state-of-the-art AI models for ailia SDK
Research papers and blogs to transition to AI Engineering