Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2013_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2013_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2013_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2013_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d363cb9c29a738e42af5a3150478244e3e685cc397359996e561e0c7d101ef47
- Size of remote file:
- 81.8 MB
- SHA256:
- 2bfb9295a3387085de56e70cb08cb980f345bd8aecab37c68dd58c5b3e0abbce
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