Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2015_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2015_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2015_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2015_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b4f0008c1c267319b69ec4b4009772b6f7548d60a7141147f84bcd55cb64922
- Size of remote file:
- 81.8 MB
- SHA256:
- 4c102cb578ad58b361980d2b14965c898373f6f0546d187a7e4453850717ad70
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