Instructions to use NeuronDS/CL_forecasting_foundation_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NeuronDS/CL_forecasting_foundation_model with Transformers:
# Load model directly from transformers import AutoTokenizer, PatchTSMixerForPrediction tokenizer = AutoTokenizer.from_pretrained("NeuronDS/CL_forecasting_foundation_model") model = PatchTSMixerForPrediction.from_pretrained("NeuronDS/CL_forecasting_foundation_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fca6f5f51fad78f345cd01d5ce9dfd0b3aafb70fccc6f575cfd66094bdf4d772
- Size of remote file:
- 416 kB
- SHA256:
- 766cbfc72ba5977581332849849ab68c83e73d1af16de5b1dcec5914699e29f5
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