Robotics
Transformers
Safetensors
openvla
feature-extraction
vla
openvla-oft
xarm
task-conditioned-gate
custom_code
Instructions to use AAyano/gate_setting1_chunksize25_batch32_from20000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AAyano/gate_setting1_chunksize25_batch32_from20000 with Transformers:
# Load model directly from transformers import AutoModelForVision2Seq model = AutoModelForVision2Seq.from_pretrained("AAyano/gate_setting1_chunksize25_batch32_from20000", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d62f0fb55d205883c4149b015adf8277cc1b0fce40c0bcc047cc4df3f7352827
- Size of remote file:
- 3.34 GB
- SHA256:
- a526944400ec3d8fdd3adf27f858c8227c53081c5438b190fbb086f6ed196d16
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