Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2012_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2012_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2012_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2012_Global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b63db502929f1de245c89cad2173e91b0abf42e6ac18ca17b831c713e1e625c3
- Size of remote file:
- 185 MB
- SHA256:
- 05625563d192c2566e77601a5df34387bd14b52bee3e458dcb5158811f1225b1
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