Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2006_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2006_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2006_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2006_Global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9476ebf53ec698c25fbaf7ccf07cbfc6afd05dc910b794efb6327c6faa09208b
- Size of remote file:
- 81.8 MB
- SHA256:
- 18fffad1b6ce8b9357e7686273383ecad63970f9c924c39b7ab7097c66a5c67f
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