Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2010_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2010_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2010_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2010_Global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0709e45d84e775733ca9e8f5e809c941b51c8a03093f3c0fb9dbedd18f252637
- Size of remote file:
- 81.8 MB
- SHA256:
- a4245652e94c59d03e26841ae60bb5455b5bc890601adb8f05e6d0fcfee6ac12
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