Instructions to use albus2024/dita_goal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use albus2024/dita_goal with LeRobot:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 1,620 Bytes
f74e5fb c1432ef f74e5fb 7c2bf39 f74e5fb 7c2bf39 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 | {
"name": "policy_preprocessor",
"steps": [
{
"registry_name": "rename_observations_processor",
"config": {
"rename_map": {}
}
},
{
"registry_name": "to_batch_processor",
"config": {}
},
{
"registry_name": "tokenizer_processor",
"config": {
"max_length": 77,
"task_key": "task",
"padding_side": "right",
"padding": "max_length",
"truncation": true,
"tokenizer_name": "openai/clip-vit-large-patch14"
}
},
{
"registry_name": "dita_language_encoder_processor_step",
"config": {
"clip_model_name": "openai/clip-vit-large-patch14",
"traj_length": 11,
"chunk_size": 10,
"device": "cuda"
}
},
{
"registry_name": "dita_masked_normalizer_processor",
"config": {
"eps": 1e-08,
"features": {
"observation.images.image": {
"type": "VISUAL",
"shape": [
3,
256,
256
]
},
"action": {
"type": "ACTION",
"shape": [
7
]
}
},
"norm_map": {
"VISUAL": "IDENTITY",
"ACTION": "QUANTILES",
"LANGUAGE": "IDENTITY"
},
"gripper_mode": "binary"
},
"state_file": "policy_preprocessor_step_4_dita_masked_normalizer_processor.safetensors"
},
{
"registry_name": "device_processor",
"config": {
"device": "cuda",
"float_dtype": null
}
}
]
}
|