Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2012_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2012_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2012_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2012_Global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aaf9d777486b6a695b13f6915f196276c6d9cff05c4654ddd541a252159c663f
- Size of remote file:
- 81.8 MB
- SHA256:
- e57691e32abb4bdfbacfc6cb80022a546927575f768cf072417fa31de1c8b24d
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