Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2004_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2004_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2004_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2004_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0438bd27d07a8f1bd9ed89ebfb2b19d69e88377035c24364ee979f5fc87e8cd
- Size of remote file:
- 81.8 MB
- SHA256:
- d73daa647bba98091cb55483273e4d1b623d6dc4fa5ed1f0ef475aa166368591
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