Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2008_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2008_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2008_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2008_Global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6fabe5d7f3d3c70fa5d0393f7a28925956f6d9a0254fbedff7b512d7df1a4cc2
- Size of remote file:
- 185 MB
- SHA256:
- 20e818da9e88c84cb1b3902293fcb98dead885dbe899eaf9b948f2c9c1694fa5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.