Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2014_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2014_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2014_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2014_Global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ed210fe2e8cd26a5df3541d277343ee2a57b664481ea9849a09eefd0dc06073
- Size of remote file:
- 81.8 MB
- SHA256:
- b7b55e63773b245bb6de7627c93cf4843355ab8f2cd07e63e935ff476339a265
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