Instructions to use taetae77/my-action-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use taetae77/my-action-tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("taetae77/my-action-tokenizer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 604 Bytes
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"repo_id": "taetae77/bi_red_tomato",
"vocab_size": 1024,
"scale": 10.0,
"encoded_dims": "0:6",
"encoded_dim_ranges": [
[
0,
6
]
],
"total_encoded_dims": 6,
"relative_dims": null,
"relative_dim_list": null,
"use_relative_transform": false,
"state_key": "observation.state",
"normalization_mode": "QUANTILES",
"action_horizon": 10,
"num_training_chunks": 14960,
"compression_stats": {
"compression_ratio": 9.561752988047807,
"mean_token_length": 6.275,
"p99_token_length": 15.0,
"min_token_length": 2.0,
"max_token_length": 19.0
}
} |