Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2000_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2000_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2000_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2000_Global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f306acb020772b0a169e3a325c43a376103f15ea70ffc8705d5f2298df80d82
- Size of remote file:
- 185 MB
- SHA256:
- 99dfba6955ee293067d8e1578f5b51171d85a0c9a39c05f8bc0a1289857a400e
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