Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2008_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2008_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2008_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2008_Global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39bc8342260ecec165a49956e7b7de8ce5c9bd68cd2aa23e2caeab4b8a88d14f
- Size of remote file:
- 81.8 MB
- SHA256:
- 8333785a259182869a3277c65886a381cfe207848e0b5dd070b9f270e75ae9bc
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