Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2003_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2003_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2003_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2003_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 225fbcb39460e069f6dac40e416d2dac7ccdec6b7c0af87cc21867ba42a51476
- Size of remote file:
- 185 MB
- SHA256:
- f5eb0f17ecb96b6f42410b2e77e0e93d133349dd1492cac09bf9418b1a01b3a1
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