Instructions to use Screener2/my_pi0fast_tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Screener2/my_pi0fast_tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Screener2/my_pi0fast_tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "repo_id": "Screener2/P_n_P_60_20260508_125042", | |
| "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": 2509, | |
| "compression_stats": { | |
| "compression_ratio": 7.233273056057866, | |
| "mean_token_length": 8.295, | |
| "p99_token_length": 19.00999999999999, | |
| "min_token_length": 2.0, | |
| "max_token_length": 23.0 | |
| } | |
| } |