Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2013_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2013_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2013_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2013_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12de7228d54960dc2c26042a45f1c351698195cb12fb70d9f5a249796f8d3be3
- Size of remote file:
- 81.8 MB
- SHA256:
- 95b7bfaca781d3c9856c8a168398bff37f4b9e1594dc0cdee1ea5dd0ceb798e7
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