Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2013_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2013_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2013_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2013_Global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 81dded6d7385c6d386b5f32aa84ed51d26057d89808f13873f0cb3dee41ec912
- Size of remote file:
- 185 MB
- SHA256:
- 14d10a2cf0b946350d4f6323a368ccf619d1821b1045338b19b1c69f7ee73315
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