--- title: "Hugging Face Transformers and Habana Gaudi AWS DL1 Instances" url: https://daily.dev/posts/hugging-face-transformers-and-habana-gaudi-aws-dl1-instances-iqe0akvrd source_url: https://www.philschmid.de/habana-distributed-training type: article source: "Philipp Schmid" published: 2026-05-31T07:41:05.077Z updated: 2026-05-31T08:25:14.322Z tags: ["machine-learning", "deep-learning"] reading_time: 7 upvotes: 0 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Hugging Face Transformers and Habana Gaudi AWS DL1 Instances **[Philipp Schmid](https://daily.dev/sources/philschmid)** · 7 min read · 0 upvotes · 0 comments ## Summary A step-by-step tutorial on fine-tuning XLM-RoBERTa-large for multilingual text classification using Habana Gaudi HPUs on AWS DL1 instances. Covers environment setup, dataset preparation with the Amazon Science Massive dataset (7 languages, ~80K training samples), single-HPU training with GaudiTrainer, and scaling to distributed training across all 8 HPUs. Includes a cost-performance benchmark showing Habana Gaudi is 8.4x faster and 7.7x cheaper than a comparable NVIDIA V100-based p3.8xlarge instance for the same training job. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#deep-learning](https://daily.dev/tags/deep-learning) [View this post on daily.dev](https://daily.dev/posts/hugging-face-transformers-and-habana-gaudi-aws-dl1-instances-iqe0akvrd)