Transformers
Transformers run on AWS Trainium Transformers use the Qwen/Qwen3.8-27B model Transformers natively support TorchNeuron Hugging Face provides and uses the Transformers library for model handling. Optimum TPU is no longer required to run Hugging Face models with Transformers and Diffusers. The Qwen/Qwen3.5‑9B model is provided for use with the Transformers library. granite-speech-5.0-2b is supported in Transformers Transformers models are available on the Hugging Face Hub· Entity summary generated by Graphiti
Relation timeline
BY VALID-FROM DATE- TransformersHAS MODEL ONHugging Face Hub
Transformers models are available on the Hugging Face Hub
- granite-speech-5.0-2bIS SUPPORTED INTransformers
granite-speech-5.0-2b is supported in Transformers
- SWE-bench VerifiedIS MODEL FORTransformers
The Qwen/Qwen3.5‑9B model is provided for use with the Transformers library.
- Hugging FaceUSESTransformers
Hugging Face provides and uses the Transformers library for model handling.
- Optimum TPUNOT REQUIRED FORTransformers
Optimum TPU is no longer required to run Hugging Face models with Transformers and Diffusers.
- TransformersUSES MODELHiROv1
Transformers use the Qwen/Qwen3.8-27B model
- TransformersSUPPORTSTorchNeuron
Transformers natively support TorchNeuron
- TransformersRUNS ONAWS Trainium2
Transformers run on AWS Trainium
Relations are facts Graphiti extracted from reports, not verbatim quotes. An end date means later reporting showed the relation no longer holds.
Events 3
Source reports 4
- Does Your Model Run on AWS Trainium? Look It UpHugging Face Blog · first-party · 2026-10-23
- Granite Speech 5.0: Transcribe, Translate, and Attribute more Accurately and FasterHugging Face Blog · first-party · 2026-10-21
- Hugging Face ❤️ TorchTPU: TPUs, NativelyHugging Face Blog · first-party · 2026-10-20
- TorchNeuron: running HF models on AWS Trainium is easier than everHugging Face Blog · first-party · 2026-10-19