Instructions to use DANNY621/openvla_ckpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use DANNY621/openvla_ckpt with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("DANNY621/openvla_ckpt") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- openvla-7b+pick_n_place_ee+b16+lr-0.0005+lora-r32+dropout-0.1--image_aug--cup_noq99_nonorm_nol1_parallel_dec--24_acts_chunk--l1_reg--no_aug--10000_chkpt
- openvla-7b+pick_n_place_ee+b16+lr-0.0005+lora-r32+dropout-0.1--image_aug--cup_noq99_nonorm_nol1_parallel_dec--24_acts_chunk--l1_reg--no_aug--15000_chkpt
- openvla-7b+pick_n_place_ee+b16+lr-0.0005+lora-r32+dropout-0.1--image_aug--cup_noq99_nonorm_nol1_parallel_dec--24_acts_chunk--l1_reg--no_aug--20000_chkpt
- openvla-7b+pick_n_place_ee+b16+lr-0.0005+lora-r32+dropout-0.1--image_aug--cup_noq99_nonorm_nol1_parallel_dec--24_acts_chunk--l1_reg--no_aug--5000_chkpt
- openvla-7b+pick_n_place_ee+b16+lr-0.0005+lora-r32+dropout-0.1--image_aug--cup_noq99_nonorm_nol1_parallel_dec--24_acts_chunk--l1_reg--no_aug--7500_chkpt
- openvla-7b+pick_n_place_ee+b16+lr-0.0005+lora-r32+dropout-0.1--image_aug--cup_noq99_nonorm_nol1_parallel_dec--24_acts_chunk--l1_reg--no_aug