Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2008_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2008_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2008_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2008_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0e808f52e441409406a6f5df2da267c14d6834d579afe6abe93b5069d54a5f1
- Size of remote file:
- 185 MB
- SHA256:
- 6acc1b4e258c2c49ab8f5c35bd9fb53c3cc0ca86c84014f22ddba7d0e1fe0c00
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.