Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2011_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2011_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2011_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2011_Global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0873d2acad06c07082dca73ca33b6bf8375a433d9cbf12ea47f10dab8a63a9cb
- Size of remote file:
- 81.8 MB
- SHA256:
- 871a509eb3dd3f565eef1bd04dcb3be49a9b4cfc2be96e66690fcc0684ca4d08
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