Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2021_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2021_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2021_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2021_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f984a070bd639c617c34bc1b08434f0286ba0cab2c126507daf2cf91bd8bd021
- Size of remote file:
- 81.8 MB
- SHA256:
- 01855e75464001b0d71d68f8cc47091cbc0db4a06833bc53f7586dffc37c605e
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