- Question on how the T5 is trained https://huggingface.co/docs/transformers/model_doc/t5#training 2 comments learnmachinelearning
Linking pages
- GitHub - xenova/transformers.js: State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server! https://github.com/xenova/transformers.js 55 comments
- GitHub - huggingface/transformers: 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. https://github.com/huggingface/transformers 26 comments
- How to Auto-Generate a Summary from Long Youtube Videos Using AI | by Bildea Ana | Apr, 2023 | Towards Data Science https://medium.com/towards-data-science/how-to-auto-generate-a-summary-from-long-youtube-videos-using-ai-a2a542b6698d 10 comments
- GitHub - JoaoLages/RATransformers: RATransformers 🐭- Make your transformer (like BERT, RoBERTa, GPT-2 and T5) Relation Aware! https://github.com/JoaoLages/RATransformers 7 comments
- Mixtures of Experts - Javid Lakha https://blog.javid.io/p/mixtures-of-experts 2 comments
- Quickly Deploy A Machine Learning API On AWS EC2 Using BentoML | by Ahmed Besbes | Jan, 2023 | Level Up Coding https://levelup.gitconnected.com/quickly-deploy-a-machine-learning-api-on-aws-ec2-using-bentoml-dbb13bc09d51 1 comment
- Hugging Face’s Transformer Library: A Game-Changer in NLP https://turingtalks.substack.com/p/hugging-face-transformer-library 1 comment
- GitHub - huggingface/transformers: 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. https://github.com/huggingface/pytorch-transformers 0 comments
- GitHub - huggingface/transformers: 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. https://github.com/huggingface/pytorch-pretrained-BERT 0 comments
- Open-Source Elixir Alternatives to ChatGPT https://dockyard.com/blog/2023/05/16/open-source-elixir-alternatives-to-chatgpt 0 comments
- A beginner's guide to LLM fine-tuning | Modal Blog https://modal.com/blog/llm-fine-tuning-overview 0 comments
- Too many models | TechCrunch https://techcrunch.com/2024/04/19/too-many-models/ 0 comments