Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2001_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2001_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2001_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2001_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a9d6fb1abc474dd3cd402c2810a655d7a4e01e871641f79dbf4321574ded87a
- Size of remote file:
- 81.8 MB
- SHA256:
- f48d56f7788db90eb8179ab7b46338ef7cebcc94499e7925d5014f5e5b8a90d6
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