Instructions to use google/timesfm-2.5-200m-pytorch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TimesFM
How to use google/timesfm-2.5-200m-pytorch with TimesFM:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "TimesFmModelForPrediction" | |
| ], | |
| "context_length": 16384, | |
| "head_dim": 80, | |
| "hidden_size": 1280, | |
| "horizon_length": 128, | |
| "intermediate_size": 1280, | |
| "model_type": "timesfm", | |
| "num_attention_heads": 16, | |
| "num_hidden_layers": 20, | |
| "patch_length": 32, | |
| "quantile_horizon_length": 1024, | |
| "quantiles": [ | |
| 0.1, | |
| 0.2, | |
| 0.3, | |
| 0.4, | |
| 0.5, | |
| 0.6, | |
| 0.7, | |
| 0.8, | |
| 0.9 | |
| ], | |
| "rms_norm_eps": 1e-06, | |
| "torch_compile": false | |
| } |