Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2014_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2014_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2014_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2014_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f045e3000b8c00662cb2917fef8bb5f4f9fd2e4b3b33f93b27c157965edadd7
- Size of remote file:
- 185 MB
- SHA256:
- 7651ffd440b3f176478f6078ee29f6ab40a95e46a4cd7bcc6dadec339a24aeef
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