Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2009_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2009_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2009_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2009_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da084a97261e75105d2a20b5bf8a8136c0cb988e3e570ae0d293d39275fb4478
- Size of remote file:
- 185 MB
- SHA256:
- cccb1c0fd8770818a00e50e48a8caea93755618316cc1b1df5fb5a2570d6d80b
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