Search results
Jun 28, 2024 · Transformers is a toolkit for pretrained models on text, vision, audio and multimodal tasks. It supports Jax, PyTorch and TensorFlow and integrates with the Hugging Face Hub.
Jun 24, 2024 · This category is for any question related to the Transformers library. You can also file an issue.
Jun 11, 2024 · In this blog, we give the theoretical memory consumptions for naive attention, FlashAttention with padded transformer blocks (current implementation in HuggingFace transformers library) and the Padding-Free transformer blocks.
Jun 14, 2024 · Transformers have revolutionized machine learning with their simple yet effective architecture. Pre-training Transformers on massive text datasets from the Internet has led to unmatched generalization for natural language understanding (NLU) tasks.
Jun 26, 2024 · One popular way to do this is via Hugging Face’s Transformers library. What is Hugging Face? Hugging Face is an AI company that has become a major hub for open-source machine learning (ML). Their platform has 3 major elements which allow users to access and share machine learning resources.
Jun 12, 2024 · Stable Diffusion 3 (SD3), Stability AI’s latest iteration of the Stable Diffusion family of models, is now available on the Hugging Face Hub and can be used with 🧨 Diffusers. The model released today is Stable Diffusion 3 Medium, with 2B parameters.
Jun 26, 2024 · Join your hosts from Intel and Hugging Face* (notable for its transformers library) to learn: How to do multi-node, distributed CPU fine-tuning for transformers with hyperparameter optimization using the Hugging Face transformers and Accelerate library, and Intel® Extension for PyTorch*.
