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 tokenizer metadata
Browse files- metadata.json +5 -5
metadata.json
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"action_horizon": 10,
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"num_training_chunks": 258228,
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"compression_stats": {
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"compression_ratio":
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"mean_token_length":
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"p99_token_length":
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"min_token_length":
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"max_token_length":
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}
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}
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"action_horizon": 10,
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"num_training_chunks": 258228,
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"compression_stats": {
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"compression_ratio": 1.4267709794782775,
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"mean_token_length": 42.053,
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"p99_token_length": 60.0,
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"min_token_length": 22.0,
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"max_token_length": 69.0
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}
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}
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