Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2007_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2007_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2007_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2007_Global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f978e1353d2e20e75e83f936e72a297c39e80a9b1deff08edcb7bac3e51629f6
- Size of remote file:
- 81.8 MB
- SHA256:
- 3d971970947e72957a76c42f5b5e1ba054cc42317c489bf9e79c5ead29243f47
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