Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2016_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2016_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2016_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2016_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a243bba6e225cac2e8ac58efc5ff0b11c2fc6aa9880d087a8773700691fecda6
- Size of remote file:
- 185 MB
- SHA256:
- 71671b1c621f0f2d1261e5db958c14811227d3e0019d5d8b78f4e5b04bd4da8b
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