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:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AutonLab/MOMENT-1-large", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Push model using huggingface_hub.
Browse files- config.json +1 -0
- pytorch_model.bin +3 -0
config.json
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{"task_name": "pre-training", "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": {}}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:52f5ee65c80790c7f6dab8736243368e193fcc04d2d642d9f69c89dd644bd199
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size 1385575757
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