Instructions to use Adaptive-Machine-Patterns/amp-tadpole-lerobot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use Adaptive-Machine-Patterns/amp-tadpole-lerobot 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
File size: 898 Bytes
f47a586 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | AMP Tadpole
Copyright 2026 Adaptive Machine Patterns Ltd
(registered in England & Wales, no. 15618869)
The model weights (weights.safetensors, amp-tadpole.onnx), model.py,
config.json and model.yaml are licensed under the Creative Commons
Attribution-NonCommercial 4.0 International licence (see LICENSE).
Commercial licences are available from Adaptive Machine Patterns Ltd:
amp@adaptive-machine-patterns.com,
https://adaptive-machine-patterns.com/embodied-ai-workbench
instructions.json lists token ids produced by the tokenizer of
SmolVLM2-500M-Video-Instruct (HuggingFaceTB), which is licensed under the
Apache License, Version 2.0 (see LICENSE-APACHE-2.0). The tokenizer itself
is not included. AMP Tadpole is not otherwise derived from SmolVLM2: its
weights were trained from scratch.
SmolVLM: Redefining small and efficient multimodal models.
A. Marafioti et al., 2025. arXiv:2504.05299.
|