Instructions to use taetae77/fast-tokenizer-bi-pick-tomato with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use taetae77/fast-tokenizer-bi-pick-tomato with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("taetae77/fast-tokenizer-bi-pick-tomato", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 252 Bytes
daf24ee | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"action_dim": 11,
"auto_map": {
"AutoProcessor": "processing_action_tokenizer.UniversalActionProcessor"
},
"min_token": -3514,
"processor_class": "UniversalActionProcessor",
"scale": 10.0,
"time_horizon": 10,
"vocab_size": 8192
}
|