timm 1.0.8-foss-2023a
(Unofficial) PyTorch Image Models.Accessing timm 1.0.8-foss-2023a
To load the module for timm 1.0.8-foss-2023a please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):
📋
module load bear-apps/2023a
module load timm/1.0.8-foss-2023a
BEAR Apps Version
Architectures
EL8-icelake — EL8-sapphirerapids
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
- huggingface_hub 0.24.5
- timm 1.0.8
More Information
For more information visit the timm website.
Dependencies
This version of timm has a direct dependency on: foss/2023a Python/3.11.3-GCCcore-12.3.0 PyTorch/2.1.2-foss-2023a PyYAML/6.0-GCCcore-12.3.0 Safetensors/0.4.3-gfbf-2023a torchvision/0.16.0-foss-2023a tqdm/4.66.1-GCCcore-12.3.0
Other Versions
These versions of timm 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 |
|---|---|
| 0.6.12-foss-2021a-PyTorch-1.10.0 | 2021a |
| 0.6.12-foss-2021a-CUDA-11.3.1-PyTorch-1.10.0 | 2021a |
Last modified on 3rd April 2025