Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2018_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2018_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2018_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2018_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b2df1508d0ab5179c62f31c208896ad6900d54b484244f43b1d2d35fc34a66a2
- Size of remote file:
- 81.8 MB
- SHA256:
- c411e1921e6cdf2effe5ea113838b453680502e7274f008e4bd95bfcfe19086e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.