Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2001_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2001_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2001_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2001_Global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df9a9b19c13c63e05075b89af8b15f8724c50bc071f07cb3429a678b471f79ba
- Size of remote file:
- 185 MB
- SHA256:
- eae0559c6ff930c90edaff7b888021493ce9f34f81bb2ed6441cc4481dda2fa0
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