Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2021_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2021_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2021_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2021_Global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb9ec26d5942e7560f8907c8158558ca7fc0fd8696481ac6debd7e0cb8639772
- Size of remote file:
- 81.8 MB
- SHA256:
- 578ee2d581708fe86853bf93728ef2951de501f3320d40311c11e87aaa8340a8
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