Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2016_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2016_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2016_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2016_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27b4c1ae9e274711d8b192e078a228f543d14ccdd9adbc8170f7b9de9226b84f
- Size of remote file:
- 81.8 MB
- SHA256:
- 9b649c82e668f06fbc46c0c10bd637bc4729f967c434845e0f9385b06163e842
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.