Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2002_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2002_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2002_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2002_Global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0df830b0fd40fad52281314b389a237b24d8b2319db41a045e4a8ad2c9e8f077
- Size of remote file:
- 81.8 MB
- SHA256:
- e17fdcc0a7c97b6df044bb839876ec3ad69a083ed125cf2e3e390ee50c1bfa22
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