Instructions to use feynman-integrals-nn/t331ZZZM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use feynman-integrals-nn/t331ZZZM with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("feynman-integrals-nn/t331ZZZM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "device": "cpu", | |
| "dtype": "float32", | |
| "dimensions": { | |
| "input": { | |
| "variables": 2 | |
| }, | |
| "output": { | |
| "functions": 18, | |
| "epsilon_orders": 5 | |
| }, | |
| "connection": { | |
| "epsilon_orders": 2 | |
| } | |
| }, | |
| "phase_space": { | |
| "scale": 2.5, | |
| "const": 2.5, | |
| "cut": { | |
| "physical": 0.1, | |
| "spurious": 0.1 | |
| } | |
| }, | |
| "hyperparameters": { | |
| "optimiser": { | |
| "algorithm": "Adam", | |
| "initial_learning_rate": 1e-3 | |
| }, | |
| "learning_rate_scheduler": { | |
| "factor": 0.1, | |
| "patience": 6, | |
| "threshold": 1e-2, | |
| "cooldown": 0 | |
| }, | |
| "iterations": { | |
| "batch_size": 256, | |
| "partition_size": 512, | |
| "number_partitions": 1 | |
| }, | |
| "architecture": { | |
| "hidden_layers": [256, 256, 256], | |
| "activation": "GELU" | |
| }, | |
| "loss_function": { | |
| "boundary_bias": 1.0, | |
| "boundary_derivatives": false | |
| } | |
| }, | |
| "termination": { | |
| "epochs": 0, | |
| "seconds": 0, | |
| "learning_rate": { | |
| "target": 1.1e-8, | |
| "patience": 10 | |
| } | |
| }, | |
| "zeros": { | |
| "re": [ | |
| [0, 0], | |
| [2, 0], | |
| [4, 0], | |
| [5, 0], | |
| [5, 1], | |
| [7, 0], | |
| [8, 0], | |
| [9, 0], | |
| [9, 1], | |
| [11, 0], | |
| [11, 1], | |
| [12, 0], | |
| [12, 1], | |
| [13, 0], | |
| [13, 1], | |
| [13, 2], | |
| [13, 3], | |
| [14, 0], | |
| [14, 1], | |
| [14, 2], | |
| [15, 0], | |
| [15, 1], | |
| [16, 0], | |
| [16, 1], | |
| [16, 2] | |
| ], | |
| "im": [ | |
| [0, 0], | |
| [0, 1], | |
| [1, 0], | |
| [1, 1], | |
| [2, 0], | |
| [2, 1], | |
| [3, 0], | |
| [3, 1], | |
| [3, 2], | |
| [3, 3], | |
| [4, 0], | |
| [4, 1], | |
| [4, 2], | |
| [5, 0], | |
| [5, 1], | |
| [6, 0], | |
| [7, 0], | |
| [8, 0], | |
| [9, 0], | |
| [9, 1], | |
| [9, 2], | |
| [10, 0], | |
| [10, 1], | |
| [10, 2], | |
| [10, 3], | |
| [10, 4], | |
| [11, 0], | |
| [11, 1], | |
| [12, 0], | |
| [12, 1], | |
| [12, 2], | |
| [13, 0], | |
| [13, 1], | |
| [13, 2], | |
| [13, 3], | |
| [13, 4], | |
| [14, 0], | |
| [14, 1], | |
| [14, 2], | |
| [15, 0], | |
| [15, 1], | |
| [16, 0], | |
| [16, 1], | |
| [16, 2], | |
| [16, 3], | |
| [17, 0] | |
| ] | |
| } | |
| } | |