Instructions to use AlexWortega/tinyvla with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use AlexWortega/tinyvla 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
Upload tinyvla2/CLAUDE.md with huggingface_hub
Browse files- tinyvla2/CLAUDE.md +5 -3
tinyvla2/CLAUDE.md
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@@ -191,9 +191,11 @@ Currently training: `tv2_libero_ft` — C-scaled fine-tuned on LIBERO in canonic
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action space with morphology conditioning, 30k steps, to get a closed-loop number
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directly comparable to v1's 86%. At 5k it scores 40% on libero_spatial.
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`tv2_robocasa` was stopped at ~18k/30k to free the GPU;
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Benchmark commands:
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```bash
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action space with morphology conditioning, 30k steps, to get a closed-loop number
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directly comparable to v1's 86%. At 5k it scores 40% on libero_spatial.
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`tv2_robocasa` was stopped at ~18k/30k to free the GPU; only `step_10000` was kept.
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Re-measured with the corrected harness: RoboCasa (new domain) **0.47**, at the cost
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of mild uniform forgetting on the old robots (mean 0.34 → 0.41, worst stretch
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0.11 → 0.25) and **no** effect on held-out LeKiwi (1.67 → 1.60). The earlier
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"weight 0.5 collapses held-out transfer" conclusion was a harness artefact.
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Benchmark commands:
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```bash
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