Instructions to use agibot-world/GO-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use agibot-world/GO-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="agibot-world/GO-1", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("agibot-world/GO-1", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c460c163735816daf8e43b03156d1c438731204bbf76fad0bce741525053bd68
- Size of remote file:
- 651 MB
- SHA256:
- 9dae54ec3aa96f65f32f528ecd5cee393f1178e527709245a20f6889f8b5a650
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