Time Series Forecasting
Transformers
Safetensors
foundation models
pretrained models
time series foundation models
time series
time-series
timeseries
forecasting
observability
Eval Results (legacy)
Instructions to use Datadog/Toto-Open-Base-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Datadog/Toto-Open-Base-1.0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Datadog/Toto-Open-Base-1.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 582 Bytes
14e44c6 c6a5de7 14e44c6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"patch_size": 64,
"stride": 64,
"embed_dim": 768,
"num_layers": 12,
"num_heads": 12,
"mlp_hidden_dim": 3072,
"dropout": 0.1,
"spacewise_every_n_layers": 12,
"scaler_cls": "<class 'model.scaler.CausalPatchStdMeanScaler'>",
"output_distribution_classes": [
"<class 'model.distribution.MixtureOfStudentTsOutput'>"
],
"spacewise_first": false,
"output_distribution_kwargs": {
"k_components": 24
},
"use_memory_efficient_attention": true,
"stabilize_with_global": true,
"scale_factor_exponent": 10.0
} |