Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2008_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2008_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2008_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2008_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44bb270b6bfb3d4e3c314f65ae47822f32150c637d3fff16a70dcff44bfe93c1
- Size of remote file:
- 185 MB
- SHA256:
- e2d299adf9dc42fda364ac6064de7489bd37127861553083a4f1b4eda98d4a84
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