Transformers 4.24.0-foss-2022a

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

Accessing Transformers 4.24.0-foss-2022a

To load the module for Transformers 4.24.0-foss-2022a please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load bear-apps/2022a
module load Transformers/4.24.0-foss-2022a

There is a GPU enabled version of this module: Transformers 4.24.0-foss-2022a-CUDA-11.7.0

BEAR Apps Version

2022a

Architectures

EL8-cascadelake — EL8-icelake — EL8-sapphirerapids

The listed architectures consist of two part: 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

• accelerate 0.19.0
• huggingface-hub-0.14.1
• regex 2023.5.5
• tokenizers 0.13.3
• transformers 4.24.0

More Information

For more information visit the Transformers website.

Dependencies

This version of Transformers has a direct dependency on: foss/2022a Python/3.10.4-GCCcore-11.3.0 PyTorch/1.12.1-foss-2022a PyYAML/6.0-GCCcore-11.3.0 SciPy-bundle/2022.05-foss-2022a tqdm/4.64.0-GCCcore-11.3.0

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.

Last modified on 23rd May 2023