Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
time series
forecasting
pretrained models
foundation models
time series foundation models
time-series
text-generation-inference
Instructions to use autogluon/chronos-t5-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use autogluon/chronos-t5-tiny with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("autogluon/chronos-t5-tiny") model = AutoModelForMultimodalLM.from_pretrained("autogluon/chronos-t5-tiny") - Notebooks
- Google Colab
- Kaggle
Delete pytorch_model.bin (#2)
Browse files- Delete pytorch_model.bin (7503b12a2947bac6d32ebcc63b8912c8e1bedfbd)
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