Time Series Forecasting
Transformers
PyTorch
Safetensors
time series
forecasting
classification
anomaly detection
imputation
pretrained models
foundation models
time-series
Instructions to use AutonLab/MOMENT-1-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AutonLab/MOMENT-1-large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AutonLab/MOMENT-1-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from AutonLab/MOMENT-1-large: direct link, hf CLI and curl.
- Browser
- Download file 248 Bytes
-
https://huggingface.co/AutonLab/MOMENT-1-large/resolve/refs%2Fpr%2F1/config.json
- Command line
-
hf download hf://AutonLab/MOMENT-1-large@refs/pr/1/config.json
-
curl -L -o config.json https://huggingface.co/AutonLab/MOMENT-1-large/resolve/refs%2Fpr%2F1/config.json
248 Bytes
| {"task_name": "reconstruction", "model_name": "MOMENT", "transformer_type": "encoder_only", "d_model": null, "seq_len": 512, "patch_len": 8, "patch_stride_len": 8, "device": "cpu", "transformer_backbone": "google/flan-t5-large", "model_kwargs": {}} |