Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2000_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2000_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2000_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2000_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2dc0083b041bc0a715783c2f5b2857137ad49d17fe8fffa5fdc9d35df394014e
- Size of remote file:
- 185 MB
- SHA256:
- 7669dfeb4e47d8df3142095bf041cd6a00c9d30ef01a14687a8d1ba7f4583d2b
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