Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2022_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2022_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2022_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2022_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 42be2160e52ac2b6354d9751995491d4b051324165a18e68df8f7ec99bd39b6f
- Size of remote file:
- 81.8 MB
- SHA256:
- b4cb93670f31bb910d9b92a64eb34d96fb18ba72ae91a475a0aac1e231b84095
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