Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2016_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2016_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2016_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2016_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1a06a2ea39031be99a510f57f64c5495b4ba0397d4db3783c3b66f17859a831
- Size of remote file:
- 81.8 MB
- SHA256:
- 69144a92b7259f98f564a872009caec815ad4f29d29e635a5c0adf57f4844da8
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