Robotics
Transformers
Safetensors
openvla
feature-extraction
vla
openvla-oft
xarm
task-conditioned-gate
custom_code
Instructions to use AAyano/gate_setting2_chunksize25_batch32_from20000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AAyano/gate_setting2_chunksize25_batch32_from20000 with Transformers:
# Load model directly from transformers import AutoModelForVision2Seq model = AutoModelForVision2Seq.from_pretrained("AAyano/gate_setting2_chunksize25_batch32_from20000", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da009a06028f6ed610c4dca96ed1b8b2a9af38e0d1cfffa7bc4200180ba95531
- Size of remote file:
- 4.93 GB
- SHA256:
- 947495c22d795f71f17d5017d1209f3649d321f5b920103a51cf6a3c19de6d95
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