Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2019_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2019_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2019_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2019_Global", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f28fcff878d4c6e7ca0524a76c10c1260849d7e1dcaff33638b7b3dc757fbaa4
- Size of remote file:
- 185 MB
- SHA256:
- e704935eff034031533025552d7957fc6f40349be179f624bd51079b2a728ea6
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