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
Link reproducible GitHub code commit
Browse files
README.md
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## Code and reproducibility
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The
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## Intended use
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## Code and reproducibility
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The training, inference, real-robot wrapper, preprocessing, and evaluation
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code are available at:
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https://github.com/Laryderr/MemoryVLA
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The checkpoint in this repository was produced with code commit:
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```text
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dd9b4709db9acb48b4e074f71632cb6cc3570662
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```
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The Hugging Face repository stores model artifacts and deployment metadata,
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while GitHub stores source code and reproducibility files. The GitHub
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repository is not required to download the weights, but it should be kept in
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sync for future task training and real-robot deployment.
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## Intended use
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