Instructions to use maximellerbach/omx_multicubes_molmoact2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use maximellerbach/omx_multicubes_molmoact2 with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Upload DataProcessorPipeline
Browse files
policy_postprocessor.json
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{
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"name": "policy_postprocessor",
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"steps": [
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{
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"registry_name": "molmoact2_clamp_action",
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"config": {}
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},
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{
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"registry_name": "molmoact2_masked_unnormalizer",
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"config": {
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"eps": 1e-08,
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"features": {
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"action": {
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"type": "ACTION",
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"shape": [
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6
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]
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}
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},
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"norm_map": {
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"VISUAL": "IDENTITY",
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"STATE": "QUANTILES",
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"ACTION": "QUANTILES"
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}
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},
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"state_file": "policy_postprocessor_step_1_molmoact2_masked_unnormalizer.safetensors"
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},
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{
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"registry_name": "device_processor",
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"config": {
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"device": "cpu",
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"float_dtype": null
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}
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}
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]
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}
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policy_postprocessor_step_1_molmoact2_masked_unnormalizer.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e97091f492c0161392d7d2e0faeed980abd90ec97554c282b2ad785cef34b8b8
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size 7728
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