Instructions to use Haongchen/MemoryVLA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Piper
How to use Haongchen/MemoryVLA with Piper:
# 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
Add runtime aliases and CogACT base metadata
Browse files- dataset_statistics.json +127 -0
dataset_statistics.json
ADDED
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@@ -0,0 +1,127 @@
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| 1 |
+
{
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| 2 |
+
"custom_finetuning": {
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| 3 |
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"action": {
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| 4 |
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"mean": [
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| 5 |
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0.00019136261835228652,
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| 6 |
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-0.0005065781879238784,
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| 7 |
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0.0007242977153509855,
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| 8 |
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0.0010010910918936133,
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| 9 |
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-0.00937315821647644,
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| 10 |
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-0.0054053980857133865,
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| 11 |
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0.08626779168844223
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| 12 |
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],
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| 13 |
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"std": [
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| 14 |
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0.010820220224559307,
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| 15 |
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| 16 |
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0.010570907033979893,
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| 17 |
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0.01928521879017353,
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| 18 |
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0.04275956377387047,
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| 19 |
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0.011862475425004959,
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| 20 |
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| 21 |
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],
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| 22 |
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"max": [
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| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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1.0
|
| 30 |
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],
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| 31 |
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"min": [
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| 32 |
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| 33 |
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| 36 |
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| 38 |
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| 39 |
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],
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| 40 |
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"q01": [
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| 41 |
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| 42 |
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| 43 |
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| 46 |
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| 47 |
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| 48 |
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],
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| 49 |
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"q99": [
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| 50 |
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| 51 |
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| 52 |
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| 53 |
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0.05571965463459492,
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| 54 |
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0.12013722486793997,
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| 55 |
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| 56 |
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1.0
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| 57 |
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],
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| 58 |
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"mask": [
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| 59 |
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true,
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| 60 |
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true,
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| 61 |
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true,
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| 62 |
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true,
|
| 63 |
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true,
|
| 64 |
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true,
|
| 65 |
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false
|
| 66 |
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]
|
| 67 |
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},
|
| 68 |
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"proprio": {
|
| 69 |
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"mean": [
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| 70 |
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0.0,
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| 71 |
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| 72 |
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| 75 |
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| 76 |
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| 77 |
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],
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| 78 |
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"std": [
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| 79 |
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| 80 |
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| 81 |
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| 83 |
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],
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"max": [
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| 90 |
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],
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| 96 |
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"min": [
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| 97 |
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],
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"q01": [
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| 106 |
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"q99": [
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]
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| 123 |
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},
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| 124 |
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"num_transitions": 14300,
|
| 125 |
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"num_trajectories": 21
|
| 126 |
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}
|
| 127 |
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}
|