Instructions to use jadechoghari/wavetoken-libero-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jadechoghari/wavetoken-libero-tokenizer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jadechoghari/wavetoken-libero-tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 257 Bytes
de729bb 393ff84 de729bb 393ff84 7a6d493 393ff84 de729bb 393ff84 de729bb | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"action_dim": 6,
"auto_map": {
"AutoProcessor": "processing_action_tokenizer.WaveletActionProcessor"
},
"level": 2,
"min_token": -66,
"processor_class": "WaveletActionProcessor",
"scale": 10.0,
"time_horizon": 10,
"wavelet": "db1"
}
|