Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2019_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2019_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2019_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2019_Global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6339665df13d38c0e5c5bdccd5da5458759f333fc73e9b68b26b352fdec8cb55
- Size of remote file:
- 81.8 MB
- SHA256:
- 5b8a4f43ec303891db94809487f357f1bfae3ec244475d7ae9f6fefe3fe83da6
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