Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2014_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2014_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2014_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2014_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af6e8c857072dd8745fa63b5b5b599aa2a78c9f7b56f50a70eb4da4cd59c12b1
- Size of remote file:
- 81.8 MB
- SHA256:
- 223bcba7b5fd05f7c6c279882669b966d3f64ee8be41bbe99308721bb1deaaf5
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