Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2023_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2023_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2023_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2023_Global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bfb76766d6db143411d93012dbe6699e988857e8711f4a1997ed5ed5c094645f
- Size of remote file:
- 81.8 MB
- SHA256:
- 0eabc3b3cb2daad669c8882c1cca2abce2584c38a122de1f534a0bdc13e0a414
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