Instructions to use wikkard/cube0306_fasttokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wikkard/cube0306_fasttokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("wikkard/cube0306_fasttokenizer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 629 Bytes
e03ece6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 | {
"repo_id": "wikkard/cube0306v6",
"vocab_size": 7012,
"scale": 10.0,
"encoded_dims": "0:6,7:23",
"encoded_dim_ranges": [
[
0,
6
],
[
7,
23
]
],
"total_encoded_dims": 22,
"delta_dims": null,
"delta_dim_list": null,
"use_delta_transform": false,
"state_key": "observation.state",
"normalization_mode": "QUANTILES",
"action_horizon": 10,
"num_training_chunks": 4969,
"compression_stats": {
"compression_ratio": 1.7702248185519562,
"mean_token_length": 33.894,
"p99_token_length": 49.0,
"min_token_length": 7.0,
"max_token_length": 57.0
}
} |