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 pytorch_model.bin from AutonLab/MOMENT-1-large: direct link, hf CLI and curl.
- Browser
- Download file 1.39 GB
-
https://huggingface.co/AutonLab/MOMENT-1-large/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://AutonLab/MOMENT-1-large@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/AutonLab/MOMENT-1-large/resolve/refs%2Fpr%2F1/pytorch_model.bin
1.39 GB
- Xet hash:
- bda7f6270b38ca512f1fe3beda23c3e7dda922f0ff72deff5a2958f3dc2b0f4d
- Size of remote file:
- 1.39 GB
- SHA256:
- 52f5ee65c80790c7f6dab8736243368e193fcc04d2d642d9f69c89dd644bd199
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