Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2007_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2007_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2007_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2007_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2884df3586d51d59e3337141621bf1f5c5b16ff61de58d52d99ece3e36f0445
- Size of remote file:
- 185 MB
- SHA256:
- af52beb307b62797eb2b7fa91b95040ae4317988b378f9bdac747c19c5b99ef7
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