A Blog post by IBM Granite on Hugging Face

HuggingFace's platform is a resource for developers and researchers working in natural language processing (NLP) and machine learning, offering insights into NLP models, tools, and datasets. Through articles, tutorials, and open-source projects, HuggingFace offers insights into state-of-the-art NLP techniques, transformer architectures, and transfer learning methods. Developers can learn about using pre-trained models, fine-tuning strategies, and deploying NLP applications with HuggingFace's libraries and APIs.

Hugging Face

IBM releases Granite 4.0 1B Speech, a compact 1-billion-parameter speech-language model for enterprise use on resource-constrained devices. It supports multilingual ASR and bidirectional speech translation across English, French, German, Spanish, Portuguese, and Japanese. Despite having half the parameters of its predecessor (granite-speech-3.3-2b), it achieves higher English transcription accuracy, faster inference via speculative decoding, and adds Japanese ASR support plus keyword list biasing for names and acronyms. The model ranked #1 on the OpenASR leaderboard and is released under Apache 2.0 with native support in transformers and vLLM.

Granite 4.0 1B Speech: Compact, Multilingual, and Built for the Edge