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:
- 9c6fee92223e00db25b0c2c64ea7f598ed96995d5434d04855acb230b19f804d
- Size of remote file:
- 4.73 kB
- SHA256:
- e020b16425ffb87111456e7cacf5a0c4c58202d0204f4e43729cc6170830d253
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