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
Commit History
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fix: HubEpisodeStream.set_epoch was missing — first worker-recycle epoch boundary crashed the run
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streaming: episodes_per_epoch worker lifetime cap (dataloader workers leaked to OOM-kill on multi-hour runs twice)
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wds mixture: unitree+nav converters (gnm/vamos), wds source branch in train_fast, AMP autoselect (V100 fp16), embedding expand 16->32, push/fetch/validate tooling, DATA.md
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streaming: in-context demo support cache (per-dataset episode ring, LRU), morphology+robot-text per sample
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guard package init: keep bench/data paths importable without lerobot
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streaming: stats fallback via episode-parquet sampling for repos without meta stats (Tuned-Tasks)
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add data __init__
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add modules __init__
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add modules/embodiment.py
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add package __init__
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add processor_tinyvla.py
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add missing configuration_tinyvla.py (package was incomplete)
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tinyvla_b200: B200 streaming training on nvidia/physical-ai (745 samples/s e2e, 7x ViT fast path, hub episode streaming, full instructions)
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