Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2007_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2007_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2007_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2007_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be24c7fdfd3680aeb5f9001bc6c282744208e5283126742e834d5b406de18e4c
- Size of remote file:
- 185 MB
- SHA256:
- 2cd0661227935b5932534bec2e62179bf6ae05cbffb5377713b3f7d5f50d983b
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