Instructions to use alexgrigoras/sdg_chronos_t5_small_dunnhumby with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexgrigoras/sdg_chronos_t5_small_dunnhumby with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("alexgrigoras/sdg_chronos_t5_small_dunnhumby", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "train_examples": 114782, | |
| "eval_examples": 12754, | |
| "train_steps": 300, | |
| "learning_rate": 2.5e-05, | |
| "train_runtime": 1945.4336, | |
| "train_loss": 47.86641886393229, | |
| "is_peft_model": true, | |
| "backend_name": "lora", | |
| "added_special_tokens": 4131, | |
| "privacy_reference_windows": 2000, | |
| "privacy_deduplicated_examples": 0, | |
| "privacy_jittered_examples": 68730, | |
| "privacy_reference_stats": { | |
| "n_reference_windows": 2000, | |
| "min_distance_threshold": 8.543635129928589, | |
| "avg_real_nn_distance": 1678.3014648655792, | |
| "distance_quantile": 0.25 | |
| } | |
| } |