Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2017_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2017_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2017_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2017_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db2c4908b815ee5896e1c37350a7ab8efcb03720895ef915015b2f7d71c565be
- Size of remote file:
- 185 MB
- SHA256:
- 1ccad8a2fd34d07d1966aebc82204fcad5c1b441e1ded4cecee4c7e32a42398d
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