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Jun 28, 2024 · Transformers is more than a toolkit to use pretrained models: it's a community of projects built around it and the Hugging Face Hub. We want Transformers to enable developers, researchers, students, professors, engineers, and anyone else to build their dream projects.
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*.
