Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2000_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2000_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2000_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2000_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f7bfb07fc50df7c575c1d30fc099cee0985d2daa2da87ea63afa8513bb6355ad
- Size of remote file:
- 81.8 MB
- SHA256:
- df7e536f8ec69c6041894ef8900a17a23461097ce1e4226fd21e7d68de299ff4
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