Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2001_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2001_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2001_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2001_Global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85161c7635ad3d2481d240904a0af5fb72243ca89356914ece0ce95ff33aae44
- Size of remote file:
- 81.8 MB
- SHA256:
- 75e3e0fbcc9829afd066d8e4fe928b81751bf8154a70b4aeab334d467d43010e
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