Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2009_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2009_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2009_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2009_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b8aac5168ac49df5728569b001fe2cbfd5c435d540ab54a7c566303282cd5cf
- Size of remote file:
- 185 MB
- SHA256:
- 28ab4e01e87f7a29589dc45e2f97d96d23c79474218968318242b13b5b1f75fb
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