Instructions to use lilkm/vf_stackblocks_temporal_siglip_v2_fixed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use lilkm/vf_stackblocks_temporal_siglip_v2_fixed with LeRobot:
- Notebooks
- Google Colab
- Kaggle
File size: 1,437 Bytes
c9cfd7b | 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 | {
"type": "temporal_siglip_value_function",
"input_features": {
"observation.state": {
"type": "STATE",
"shape": [
6
]
},
"observation.images.top": {
"type": "VISUAL",
"shape": [
3,
480,
640
]
},
"observation.images.wrist": {
"type": "VISUAL",
"shape": [
3,
480,
640
]
}
},
"output_features": {},
"device": "cuda",
"pretrained_path": null,
"pretrained_revision": null,
"push_to_hub": true,
"repo_id": "lilkm/vf_stackblocks_temporal_siglip_v2_fixed",
"license": null,
"tags": null,
"private": null,
"siglip_path": "google/siglip2-so400m-patch14-384",
"image_resolution": [
384,
384
],
"tokenizer_max_length": 64,
"history_steps": 6,
"frame_gap": 30,
"state_key": "observation.state",
"state_dim": 32,
"hidden_size": 512,
"num_layers": 4,
"num_heads": 8,
"dropout": 0.1,
"num_value_bins": 201,
"value_support_min": -1.0,
"value_support_max": 0.0,
"hl_gauss_sigma_ratio": 0.75,
"target_method": "dirac_delta",
"use_one_hot_terminal": true,
"normalization_mapping": {
"VISUAL": "IDENTITY",
"STATE": "MEAN_STD"
}
} |