Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2017_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2017_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2017_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2017_Global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c1972b15d32a1703fed62d86760ce2c8f514fac14d76fe2d361da9a09da94048
- Size of remote file:
- 185 MB
- SHA256:
- 37efa1f4157683746eb27e60ab45131a561385e7b8514ca612e96a0bb690d5f6
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