Task
Video Classification
A
TanAlexanderlz/ALL_RGBCROP_ori16F-8B16F-GACWDlrDO
Video Classification·TanAlexanderlz· 35
transformers
cc-by-nc-4.0
Video Classification
86.2M params
base_model:MCG-NJU/videomae-base-finetuned-kineticsbase_model:finetune:MCG-NJU/videomae-base-finetuned-kineticslicense:cc-by-nc-4.0region:us
This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.3840 - Accuracy: 0.8263
# pull & run locally
pip install mlforge-sdk && mlforge pull TanAlexanderlz/ALL_RGBCROP_ori16F-8B16F-GACWDlrDO
pip install mlforge-sdk && mlforge pull TanAlexanderlz/ALL_RGBCROP_ori16F-8B16F-GACWDlrDO
Model details
Provider
TanAlexanderlz
Framework
transformers
Parameters
86.2M
Size
2.6 GB
License
cc-by-nc-4.0
Downloads
35
Updated
2025-05-28
About TanAlexanderlz/ALL_RGBCROP_ori16F-8B16F-GACWDlrDO
This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.3840 - Accuracy: 0.8263