Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2014_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2014_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2014_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2014_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8470ba66d01caebf3e7e931832523f686b4770d2c8ab61cd3543ea6d7a8292a
- Size of remote file:
- 185 MB
- SHA256:
- 62483cb6248b3f42f1ef62213ba90c2701ea081e2192ecc5f60d691402590d5c
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