Instructions to use jadechoghari/wavetoken-libero-tokenizer1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jadechoghari/wavetoken-libero-tokenizer1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jadechoghari/wavetoken-libero-tokenizer1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload FAST tokenizer trained on lerobot/libero_video
Browse files- processor_config.json +2 -2
- tokenizer.json +0 -0
processor_config.json
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@@ -4,9 +4,9 @@
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"AutoProcessor": "processing_action_tokenizer.WaveletActionProcessor"
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},
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"level": 1,
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"min_token": -
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"processor_class": "WaveletActionProcessor",
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"scale": 10.0,
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"time_horizon": 10,
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"wavelet": "
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}
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"AutoProcessor": "processing_action_tokenizer.WaveletActionProcessor"
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},
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"level": 1,
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"min_token": -47,
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"processor_class": "WaveletActionProcessor",
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"scale": 10.0,
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"time_horizon": 10,
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"wavelet": "dmey"
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}
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tokenizer.json
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