Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2017_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2017_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2017_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2017_Global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b891a8a8f91b844598c583670a0177954f5710779f7d31bba8245d95f1280a8
- Size of remote file:
- 81.8 MB
- SHA256:
- 2194871713351efe9cd5b525d35516c7ab1a57876a5281d309e76d8b47ce091e
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