Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2013_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2013_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2013_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2013_Global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8de30abb7f325d2eae6ad1ed5c15498f8f7dbf3738c1010d798c1a7cd661892d
- Size of remote file:
- 81.8 MB
- SHA256:
- b2342c705ff974d1a95f5f983c7b4d9747637a349240ac851082f7ae44d56b18
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.