Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2018_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2018_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2018_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2018_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c3136eae521348bd434cb5192bbfd7aed848d78b54420c9f0d0d95fa7792e1a
- Size of remote file:
- 81.8 MB
- SHA256:
- d92cad8c8b2daa1fe13a919af62a51d45f2f3d93bfc873e22d9a311926ee6286
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