Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2004_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2004_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2004_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2004_Global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b257d5bb735c7d2ca2ed7f776525b9de58a3c9b602864691a3e2a86bdd1dca8
- Size of remote file:
- 185 MB
- SHA256:
- 6e6e773f1a0a3b6e9f2e9aa20925b2e6d13c58e98cf9113e7e85e112ab82f476
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