Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2022_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2022_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2022_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2022_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c9dd7fab4ad6666413e458b2b0d10ea57d2c13794fc2af211a20ca23e052624
- Size of remote file:
- 81.8 MB
- SHA256:
- 76cdd5ece5e4f351930cc7a47a251326818e2fa1b8ad15a2108285e567966bce
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