This model contains the pre-trained ResNet18 R3M model from the paper "R3M: A Universal Visual Representation for Robot Manipulation" (Nair et al.) The model is trained on the Ego4D dataset using time-contrastive learning, video-language alignment, and sparsity objectives. It is used for efficient downstream robotic learning. 

{}
transformers pytorch r3m endpoints_compatible region:us
TAGS
#transformers #pytorch #r3m #endpoints_compatible #region-us 

This model contains the pre-trained ResNet18 R3M model from the paper "R3M: A Universal Visual Representation for Robot Manipulation" (Nair et al.) The model is trained on the Ego4D dataset using time-contrastive learning, video-language alignment, and sparsity objectives. It is used for efficient downstream robotic learning. 

TAGS
#transformers #pytorch #r3m #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #r3m #endpoints_compatible #region-us 
