Transformers 4.42.0-foss-2023a-CUDA-12.1.1

State-of-the-art Natural Language Processing for PyTorch and TensorFlow 2.0

Accessing Transformers 4.42.0-foss-2023a-CUDA-12.1.1

To load the module for Transformers 4.42.0-foss-2023a-CUDA-12.1.1 please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load bear-apps/2023a module load Transformers/4.42.0-foss-2023a-CUDA-12.1.1

There is a CPU version of this module: Transformers 4.42.0-foss-2023a

BEAR Apps Version

2023a

Architectures

EL8-icelake (GPUs: NVIDIA A100, NVIDIA A30)

The listed architectures consist of two parts: OS-CPU. The OS used is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.

Extensions

regex 2023.12.25
transformers 4.42.0

More Information

For more information visit the Transformers website.

Dependencies

This version of Transformers has a direct dependency on: accelerate/0.33.0-foss-2023a-CUDA-12.1.1 CUDA/12.1.1 foss/2023a Python/3.11.3-GCCcore-12.3.0 PyTorch/2.1.2-foss-2023a-CUDA-12.1.1 PyTorch-bundle/2.1.2-foss-2023a-CUDA-12.1.1 PyYAML/6.0-GCCcore-12.3.0 Safetensors/0.4.3-gfbf-2023a SciPy-bundle/2023.07-gfbf-2023a tokenizers/0.19.1-GCCcore-12.3.0 tqdm/4.66.1-GCCcore-12.3.0

Other Versions

These versions of Transformers are available on the BEAR systems (BlueBEAR and BEAR Cloud VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Version	BEAR Apps Version
4.42.0-foss-2023a	2023a
4.39.3-foss-2023a-CUDA-12.1.1	2023a
4.39.3-foss-2023a	2023a
4.24.0-foss-2022a-CUDA-11.7.0	2022a
4.24.0-foss-2022a	2022a

Last modified on 2nd April 2025