Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2009_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2009_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2009_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2009_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e58f54c497e5f205f24aaea93d4c8ce23fcc9f40e03484a616dad32435e7447
- Size of remote file:
- 81.8 MB
- SHA256:
- 0ce573c9d3db0231a6ca50de0a805496aedef41111fd2bfcc896aabc3130a625
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