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:
- f41ab1c11d5f46ce40b3199eff69e14b0b137a6a1c2c3eb00c5cc0147041cddc
- Size of remote file:
- 4.95 GB
- SHA256:
- f7ea983d81c2f03c373e82f78f7653042daf9f85c117e2b9d69a501058e6a932
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