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
Upload tokenizer metadata
Browse files- metadata.json +31 -0
metadata.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"repo_id": "wikkard/cube0306v6",
|
| 3 |
+
"vocab_size": 7012,
|
| 4 |
+
"scale": 10.0,
|
| 5 |
+
"encoded_dims": "0:6,7:23",
|
| 6 |
+
"encoded_dim_ranges": [
|
| 7 |
+
[
|
| 8 |
+
0,
|
| 9 |
+
6
|
| 10 |
+
],
|
| 11 |
+
[
|
| 12 |
+
7,
|
| 13 |
+
23
|
| 14 |
+
]
|
| 15 |
+
],
|
| 16 |
+
"total_encoded_dims": 22,
|
| 17 |
+
"delta_dims": null,
|
| 18 |
+
"delta_dim_list": null,
|
| 19 |
+
"use_delta_transform": false,
|
| 20 |
+
"state_key": "observation.state",
|
| 21 |
+
"normalization_mode": "QUANTILES",
|
| 22 |
+
"action_horizon": 10,
|
| 23 |
+
"num_training_chunks": 4969,
|
| 24 |
+
"compression_stats": {
|
| 25 |
+
"compression_ratio": 1.7702248185519562,
|
| 26 |
+
"mean_token_length": 33.894,
|
| 27 |
+
"p99_token_length": 49.0,
|
| 28 |
+
"min_token_length": 7.0,
|
| 29 |
+
"max_token_length": 57.0
|
| 30 |
+
}
|
| 31 |
+
}
|