Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2010_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2010_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2010_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2010_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb26a973e55e572fd2e9fc79bc2f905eda912a4c97ad055fd8851466d842f83f
- Size of remote file:
- 185 MB
- SHA256:
- 29387eae6038133f6978ebb4fd0ebfc0ed6d439b8df7445afbdb008d43df49e9
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