Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2009_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2009_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2009_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2009_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3b084d97fa78b2c49675efef5cbfc1f49d3102feb6bbad8dca233a06246959da
- Size of remote file:
- 81.8 MB
- SHA256:
- e414519e81aaf266379b2cd06c26074e9d0f798db60646ca20cdebc2ddeb72cd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.