Instructions to use jadechoghari/fast-libero-tokenizer-mean-std with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jadechoghari/fast-libero-tokenizer-mean-std with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jadechoghari/fast-libero-tokenizer-mean-std", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 250 Bytes
e712a38 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"action_dim": 7,
"auto_map": {
"AutoProcessor": "processing_action_tokenizer.UniversalActionProcessor"
},
"min_token": -203,
"processor_class": "UniversalActionProcessor",
"scale": 10.0,
"time_horizon": 10,
"vocab_size": 1024
}
|