models
Open weights, fine-tunes and adapters. Every listing here comes live from the Hugging Face Hub, attributed to it, and links back to the source.
tf_efficientnetv2_s.in21k_ft_in1ktf_efficientnetv2_s.in21kefficientnetv2_rw_m.agc_in1kefficientnetv2_rw_s.ra2_in1ktf_efficientnetv2_b0.in1ktf_efficientnetv2_m.in21k_ft_in1ktf_efficientnetv2_l.in21k_ft_in1kefficientnetv2_rw_t.ra2_in1ktf_efficientnetv2_xl.in21ktf_efficientnetv2_b2.in1ktf_efficientnetv2_s.in1ktf_efficientnetv2_b1.in1ktf_efficientnetv2_m.in21ktf_efficientnetv2_b3.in21k_ft_in1ktf_efficientnetv2_b3.in21ktf_efficientnetv2_b3.in1ktf_efficientnetv2_xl.in21k_ft_in1ktf_efficientnetv2_l.in21ktf_efficientnetv2_m.in1kgc_efficientnetv2_rw_t.agc_in1ktf_efficientnetv2_l.in1kbaseline-encoder-regression-tf_efficientnetv2_lbaseline-encoder-regression-tf_efficientnetv2_mefficientnetv25_rw_stf_efficientnetv2_s.in21k_ft_in1kEfficientNetV2-S-FacesMTL-EXP1EfficientNetV2_Small_v13class_EfficientNetv2_ForTestingtf_efficientnetv2_s.ft_plantdoc_384