Instructions to use thanyu/libero_tokenizer128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thanyu/libero_tokenizer128 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("thanyu/libero_tokenizer128", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 292 Bytes
80a3545 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"action_dim": null,
"coeff_dims": {
"Approx": 14,
"Detail_1": 67,
"Detail_2": 37,
"Detail_3": 22,
"Detail_4": 14
},
"level": 4,
"min_token": -65,
"processor_class": "WaveUniversalActionProcessor",
"scale": 10,
"time_horizon": 128,
"vocab_size": 2048
}
|