Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2005_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2005_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2005_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2005_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b62e6fe7d6042f9bdf67436ec2f2d99d8c2923a3b2fa6fb9dc86aee9c6e0f2e5
- Size of remote file:
- 185 MB
- SHA256:
- a9f8bdbfafc5ff8d105d26d97d43008961db001453a837a2b003edf458ffbba7
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