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, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("autogluon/chronos-t5-tiny") model = AutoModelForSeq2SeqLM.from_pretrained("autogluon/chronos-t5-tiny") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (0b89ee3a15ace2ede3f8e44726486fd78c363690)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:eed458758bd8165d80f496a90bcd2cfed9f1bf7d7b08677acd64e0f7d72bdcf2
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size 33588440
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