Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2003_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2003_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2003_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2003_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5bd23c095ce3e082e7985e7eecee1c7484e79cd030c2842e87bfeeb3c5f7f045
- Size of remote file:
- 185 MB
- SHA256:
- 29d71237098c27ba3632bba76a792f4c29277cf81fadeff7f165342e7cab98f4
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