Instructions to use Wjjjh/Recursive-VAM-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Wjjjh/Recursive-VAM-models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wjjjh/Recursive-VAM-models", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Upload frozen action-semantic milestone head
Browse files
action_semantic_goal_object_v3_seed42/milestone_value_final.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:a335860ad83919337d2c51bfd45f43c9dbbb4b44e576a475b616f65b641d2bfc
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size 1329105
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action_semantic_goal_object_v3_seed42/training_summary.json
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{
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"data": "/XYAIFS00/HOME/szjt_hszhu/szjt_hszhu_14/SHARE01/recursive_vam_datasets/action_semantic_milestones_v3/goal_object_features.pt",
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| 4 |
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